{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mixture Density Networks\n",
    "\n",
    "The core idea is to have a Neural Net that predicts an entire (and possibly complex)\n",
    "distribution. In this example we're predicting a mixture of gaussians distributions via\n",
    "its sufficient statistics (the means and diagonal covariances), which are on the last\n",
    "layer of the neural network. This means that the network knows what it doesn't know:\n",
    "it will predict diffuse distributions in situations where the target variable is very\n",
    "noisy, and it will predict a much more peaky distribution in nearly deterministic parts.\n",
    "\n",
    "See [Bishop 1994](http://eprints.aston.ac.uk/373/1/NCRG_94_004.pdf) for reference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import h5py\n",
    "import scipy\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fd63c9e3b10>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bBX4pWalpmELnyffhUUr/mqnTU6HPB8szZ+ZmGJ0cVddLaXiq6pG88lXI5OtL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\n3QwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd63cb1a310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# generate some 1D regression data (reproducing Bishop book data, page 273). \n",
    "# Note that the P(y|x) is not a nice distribution. E.g. it has three modes for x ~= 0.5\n",
    "N = 200\n",
    "X = np.linspace(0,1,N)\n",
    "Y = X + 0.3 * np.sin(2*3.1415926*X) + np.random.uniform(-0.1, 0.1, N)\n",
    "X,Y = Y,X\n",
    "plt.scatter(X,Y,color='g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# model intialization\n",
    "input_size = 1\n",
    "hidden_size = 30\n",
    "K = 3 # number of mixture components\n",
    "m = {}\n",
    "m['Wxh'] = np.random.randn(hidden_size, input_size) * 0.1 # input to hidden\n",
    "m['Whu'] = np.random.randn(K, hidden_size) * 0.1 # hidden to means\n",
    "m['Whs'] = np.random.randn(K, hidden_size) * 0.1 # hidden to log standard deviations\n",
    "m['Whp'] = np.random.randn(K, hidden_size) * 0.1 # hidden to mixing coefficients (cluster priors)\n",
    "m['bxh'] = np.random.randn(hidden_size, 1) * 0.01\n",
    "m['bhu'] = np.random.randn(K, 1) * 0.01\n",
    "m['bhs'] = np.random.randn(K, 1) * 0.01\n",
    "m['bhp'] = np.random.randn(K, 1) * 0.01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def softmax(x):\n",
    "    # softmaxes the columns of x\n",
    "    #z = x - np.max(x, axis=0, keepdims=True) # for safety\n",
    "    e = np.exp(x)\n",
    "    en = e / np.sum(e, axis=0, keepdims=True)\n",
    "    return en\n",
    "\n",
    "def mdn_loss(x, y, m):\n",
    "    # data in X are columns\n",
    "    \n",
    "    # forward pass\n",
    "    h = np.tanh(np.dot(m['Wxh'], x) + m['bxh'])\n",
    "    # predict mean\n",
    "    mu = np.dot(m['Whu'], h) + m['bhu']\n",
    "    # predict log variance\n",
    "    logsig = np.dot(m['Whs'], h) + m['bhs']\n",
    "    sig = np.exp(logsig)\n",
    "    # predict mixture priors\n",
    "    piu = np.dot(m['Whp'], h) + m['bhp'] # unnormalized pi\n",
    "    pi = softmax(piu)\n",
    "    # compute the loss: mean negative data log likelihood\n",
    "    k,n = mu.shape # number of mixture components\n",
    "    ps = np.exp(-((y - mu)**2)/(2*sig**2))/(sig*np.sqrt(2*math.pi))\n",
    "    pin = ps * pi\n",
    "    lp = -np.log(np.sum(pin, axis=0, keepdims=True))\n",
    "    loss = np.sum(lp)/n\n",
    "    \n",
    "    # compute the gradients on nn outputs\n",
    "    grad = {}\n",
    "    gammas = pin / np.sum(pin, axis=0, keepdims = True)\n",
    "    dmu = gammas * ((mu - y)/sig**2) /n\n",
    "    dlogsig = gammas * (1.0 - (y-mu)**2/(sig**2)) /n\n",
    "    dpiu = (pi - gammas) /n\n",
    "    # backprop to decoder matrices\n",
    "    grad['bhu'] = np.sum(dmu, axis=1, keepdims=True)\n",
    "    grad['bhs'] = np.sum(dlogsig, axis=1, keepdims=True)\n",
    "    grad['bhp'] = np.sum(dpiu, axis=1, keepdims=True)\n",
    "    grad['Whu'] = np.dot(dmu, h.T)\n",
    "    grad['Whs'] = np.dot(dlogsig, h.T)\n",
    "    grad['Whp'] = np.dot(dpiu, h.T)\n",
    "    # backprop to h\n",
    "    dh = np.dot(m['Whu'].T, dmu) + np.dot(m['Whs'].T, dlogsig) + np.dot(m['Whp'].T, dpiu)\n",
    "    # backprop tanh\n",
    "    dh = (1.0-h**2)*dh\n",
    "    # backprop input to hidden\n",
    "    grad['bxh'] = np.sum(dh, axis=1, keepdims=True)\n",
    "    grad['Wxh'] = np.dot(dh, x.T)\n",
    "    \n",
    "    # misc stats\n",
    "    stats = {}\n",
    "    stats['lp'] = lp\n",
    "    return loss, grad, stats\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# utility function for creating contour plot of the predictions\n",
    "def drawContour(m):\n",
    "    n = 50\n",
    "    xx = np.linspace(0,1,n)\n",
    "    yy = np.linspace(0,1,n)\n",
    "    xm, ym = np.meshgrid(xx, yy)\n",
    "    _, _, stats = mdn_loss(xm.reshape(1, xm.size), ym.reshape(1, ym.size), m)\n",
    "    logps = stats['lp']\n",
    "    plt.figure(figsize=(10,10))\n",
    "    plt.scatter(X,Y,color='g')\n",
    "    lp = stats['lp']\n",
    "    plt.contour(xm, ym, np.reshape(logps, (n, n)), levels=np.linspace(lp.min(), lp.max(), 20))\n",
    "    plt.xlabel('x')\n",
    "    plt.ylabel('y')\n",
    "    plt.title('3-component Gaussian Mixture Model for P(y|x)')\n",
    "#drawContour(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nb = N # full batch\n",
    "xbatch = np.reshape(X[:nb], (1,nb))\n",
    "ybatch = np.reshape(Y[:nb], (1,nb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0: 1.101843\n",
      "1000: -0.656809\n",
      "2000: -0.835534\n",
      "3000: -0.886227\n",
      "4000: -0.913057\n",
      "5000: -0.929837\n",
      "6000: -0.941867\n",
      "7000: -0.951733\n",
      "8000: -0.960423\n",
      "9000: -0.967882\n",
      "10000: -0.973781\n",
      "11000: -0.978156\n",
      "12000: -0.981655\n",
      "13000: -0.984493\n",
      "14000: -0.986977\n",
      "15000: -0.989211\n",
      "16000: -0.991234\n",
      "17000: -0.993064\n",
      "18000: -0.994716\n",
      "19000: -0.996209\n"
     ]
    }
   ],
   "source": [
    "# optimize\n",
    "lr = 1e-2\n",
    "mem = {}\n",
    "for k in m.keys(): mem[k] = np.zeros_like(m[k]) # init adagrad\n",
    "for k in range(20000):\n",
    "    loss, grad, stats = mdn_loss(xbatch, ybatch, m)\n",
    "    if k % 1000 == 0:\n",
    "        print '%d: %f' % (k, loss)\n",
    "    for k,v in grad.iteritems():\n",
    "        mem[k] += grad[k]**2\n",
    "        m[k] += -lr * grad[k] / np.sqrt(mem[k] + 1e-8)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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RaDQajUZzy7ihwktK+SOQWs4qI4CZ5rq7gGpCiFo3sk0ajUaj0WhuPmtPr2XArAEMmDWA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ZhswhdKU9+VOqySapXQBf4fjjOpxnKEhY9pDGAzSwu9/jtL+YMVhV5zY/EWG5nDoRP287Mvl2ae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7zf4A8HN3LIpEEp2PY47EuAu7+F1Gz3X8P1NA2G7Vf1XeM8dgIRhEqu7K8ngXYS24xbOUwN\nKhBOkLSYJRVv4uUkWVyQtptRwc5FTupQ8dIz8Somj5LFAAWFzzjNJA4ykbo8RAWXBKNmDLxNPbaR\nxJcUbMw1zhjE3/Zs/rLnf0e5J1L9on+ziHlxc++AJQdg+0XHru/NR2DrMfjRRUd0IeD9t2DVeviu\niMJQUdWk4mz3UByJDIeRA2HsDPesVz4SPn9etZg4l+ieNfMS4Q+/9ISYMLjja4h3zXVGGs2C9K94\nHdWhzWjFziYSaUuUtJjr2Udb6kmLV5LxJl5OUo4eVKaPlFiJXMCPQAIlmcjZUbhEMtE6JV5+GAvV\nIt1KZGDlNfazjngW0IRGGt/zYMzMoAFLOcNf5C/KCRYGpptCGG5NJbMAxe671WHRRdhVyFN26QCY\n2Q6eXO3YGJYAX/h4CAz9GK7kbytWJKEh8MVseOZViLtQ8HEloZpUXFqejvLCANiyGzb/65717qwP\nz3aFR2eDxQNeW0aDOi6raxVotwLOulHwfz1Ng+Hfq2DTUWB/VLFSQ3KbcS9XiMaXMvhJiXeKS6ST\nRR0qS4lX0vEmXh7kPMcoJ3F3Rwpp+OOLP4Xs3ddAgLfVCEAcmQzmX/wx8h6NiJb05VQWP6ZSn6kc\nZj/5i6ruNvjRwGBmui3/zCraB6ZUhaeOFP5l/0RtqBgMU7c5dm0d6sI9jeHlzx07Pj9aNlLnCfYe\nATYXf42Kg49XcWl5Ooq/H7z1Irw8xX1u6mN7QrA/jP3CPetdjxAwsbXqYddmORxO8sx1RJihlBmO\n6Dg4+4gO+q6/JbcZ17OXNtTFcAtbSOTFm3h5ENmJl55tRlArXrd64vUPiQxmB/dTnrFO6rkcoTYh\njKMWo9lHHPl/W08xBvOJPYN99vwV8gOiIdgIcwoxlxTXvL3m7IT9DjpsT30CftkJazXsUBz9jLr2\nlA/y/3lh1SRPitqvp6S1PPv0hCtp8MMa96xnMMBnw2DFZvjGwVmhejCiCbzZCjp8BTsueeYa9BbY\nH5Nc8VJQriVectqMmWSzwyuq/x+8iZcHucDxEpV43criejsKSzjFZA4xmXo8QHndDABbE0V/qjCK\n3aRyY3JVRhh5zRjMcFsqtnxKGELAhzVg0hk4VchW9orB8FYrGLgabA5I90IDVbPMpz6ADBeFy0Yj\nfDYT5iyBf3be+PPCqkkloQ2pJ1qqfUYjTHnZPaOEcokMhm9HwZAF2pJ1rfSvCx/cqQru1xUx21QP\nmgXDdh0Tr6OKlViJGq9jpCOAashx3t3CIWpTiVBJ8W4GvImXh7hKMjlkES5xtI+6o1EfKwlQE69b\nUeOVQg6j2MMWklhIUxoQ5nIsBYXzJPIzW1jMajLJP4N5gPK0IYpX2Et2Pu95X4M/ZmChPX/1cKw/\njKwAQ4oYJ/T0beBnUitfjnBvE2gRC69/6djx+VGhLHw4CR4fDldSb/x5SasmuQMZ1b67O6j2Hou/\n1uca86NJdVgxAh5+B7Yedd+613NfDHx5Dzz8E6wsePOwLugpsE9X7CRgp6LEyvvfxNOOUlIeLBUU\n1rOPdtSXcGU3D97Ey0Ocv1btklk1cUfFK+MWS7wOksoAtlOdIObSkFIu6ucuksQPbGY8nzGH77lK\nFgoKH/ILtgLe06FUJxIfZnDkhp8ZhGC2KZQptqucV/I/f1QFOJ8Dywsx0DQIWNAZJm2Bkw56dc3u\nD5//Dds03MDuvwu6tIXnxjt+TkkTtctERrVPCJj2Cox/F9LduNuvQ13VD67HVNjvgYpTLh0rwa+9\n4Jk/3Jt8NQqCPen6COyPKTaqCRNGIe8+soEEabsZT3GJbCzUpKKUeDcL3sTLQ1zmNNGSd3ikcJUI\nSf5i+VEJf07g4ra2EsifXGYkexhOLM9SHZOTH5ck0ljNDibyBTP5hixy6M9dTOZJHqE9/eiMEcEK\n8p/jY0AwjtrsIIVt3KgOrilM9DcE8EYB3l5mA7wfAy+dgLRC2kux4aoW5oW1jr2uUqEwo686Tsiq\nIQ+fOU5tN6783bHjS5qovTjSrAG0awbTP/rfv9d700L3pjCzH3SdBCc8pLUCaBIN33ZXk68EHQXv\neQk2gZ8BknVo8R5XrMRIrHalYuEsmdSXtNN+F8dpSg2vqP46vImXh4jnLKWoJDXmFTII0bGPXpsQ\nDpBPb+gmQ0FhMaeYyzFm0YD2Tu7u2cIhZvA1E/mCiyTzIG2ZykAepj1VKfPfl5ARA4O4m8PEsZbd\n+cbyx8hIYpnOkXxbjiOMgWyy57DJnv+8x1ahcGcYTCzC22tkEzicDD8ed+w1PtEWIoJg7q+OHZ8f\nAf6waCoMfR2SUhw751ZtQ8qs9k15BeZ++v+2Hu7atPBEWxjTEzpNgPMe2mUIcHs5eLQmvLjOfWuG\nm/RJvI5ho7pEYf1urlCPEKcfMgtiLyepT1UpsW4mvImXB1BQriVe8sqv2ViwYsNf8nDsvMQQRByZ\nZOABcx43kY2NNznIBhJYQBNqOlFBVFD4gc38wlY60YipDKQvnahFRQwFfNT88eVZuvMLWznA6XyP\naU0UsQTxST4/DxIGJhiDebkAoT2ow3oXXoTDhbSXfE0w/w54fi1kODBOSAhVaD/5WzhWiC9XUbRt\nDg/eDcPfcj3GrYDMal/l8vDM4/9vqurOTQtDu8BTnaDzW+4dqH09E1vDxvPwixsc/eFa4uXA58pZ\njitWqkkU1u8khYYaNKx5SSKVK2RQVaKO+WbBm3h5gKukAIJAQqXFTCWDUAJ022kH4IOBGII4jM4z\nMDxEItk8xy5sKLxHI6Kc0HMpKHzLRnZxnJE8SEOqY8axJ9FShPEU3VjEKi6S/7DF4cTyPec5mU+r\nt5fBj1AEiwoQ2pfxgTGVYPjxwoX2nSpD8zIwZatDl02NcvDqA9B/vuu+XACTR8HGHfDjH67HuJko\nbGSSrGrf6GdgzUbYln+hVVdG369u0ug6CVI95CwfaIa5HeGl9WB3g7eZXhWvk4rcitcuUmgkKfHa\nyynqUaXAh05nsGPnDAdRCphnW9LwJl4eIJ4zlKKi1CQplXRd24y51CaYgzdhu/EYVxnEDloQwQTq\nOOXPpaCwgr85yBlG8AAhBDi9fg3Kcz+tmM8PpHOjB0QpfBlIFaZxGPt1Xz5CCGZeE9pfKEBoP6yc\nai3xYxEtnpnt4b3dcLSQYdv/E/duMBnhnZ8cOz4/AgPUluOQ1yDZxWHcNwvuavsFB6mmqi9OhBEt\n3btpQQiY8gQ0rqoK7jM9NFOxW1UINMG3bthtGWaCFB0SrxOKTVrFKx0rp8mgtiR9115OUo8qUmJd\n5CR/85WuhQV34k28PIDsNiPk6rucv+E7Sx1C2H+TJV5/cJnn2cVQqjOIqk59uO0oLGMtJ7jAi/Qi\nCP+iTyqANtTjNqryIT/nu9Pxfspjwc7P3NjbqyVMDDAEMKYAob2PAebEwIvHCx+iXSEYRjeHYX86\n5nJuMMDioTBtpbYda+1bwINdYdBo97mrF4anHPLd2fbr/yCkZ0LaUfdvWhAC3hsEZcPh4VmeGS0k\nBLxxO7z1j/5VLz0qXlcUO5koREvTY12hJkH4SIiXg5WjnKeOJB3zcXZSnYZSYhUHvImXB4jnLKUl\nJ16ppBPqpsTrZhHYp2PlLQ7yESeYyW10dlKLYMfO56whjgSG05NACaODHqANZkws568byupGBC9T\nkw84QRI3iulHGoPYbbewyp6/a2rncGgcpBqrFsYLjeBCOnxxyLFrrhoNkx+HvnO13UCnvgKnzsH8\nz1yPIYPi5JCvJ0YjvDNOHSXUvqL7Ny0YjfDpc2qi3W+etna1q3SrCiaD/vYS4Wb5iddJxUZVYURI\nspLYzRVNHoV5OUIcFYiS8p2ooHCcXd7Ey4s29NjRmKrzjsZcKuBPBjYSCzD+LCns5Qr92IYZwWKa\nOl1et2FnCb8TTyrPc7/T8zGzSOcUN9p5GzAwiK4c4zzr2HPDz2sQTFfKMI8b7xT+QvCOKYRR1lTS\nlfyt6OdUh48uwp5CZHpmIyzqAiP+gosOuocMuhNKh8Lk7xw7Pj98feHLOTBhLvzrQadzTzrku9ur\nrOPt0KA2zF6k2xKFYjbBVyPgfDIM/gjsDkxQkIkQ8HpLmPCPvpVWPSpeJxQr1SRaSewmhQaSdMf7\nOEV9SW3GRM5jxy69S+RJvImXm8kinUyuEiZxACmorUZ3jGQwIK7pvDy4JUkDVuws4ARj2McwYhhN\nLQIcFMHnYsPGQn4jlQyG0QM/J3aSppLIX3zJEl5lNUvYw183HFPUTseBVGEnKWzPx9uro8GX2w0+\nTClgiHZZX5hcBQYdLdzQsUk0DKwHz/3p2OsSAj5+Bub/BjsctKTIj5gqMG88PDwMUnX8FSsOw7bz\nwxNeZdNegekL4FIhRrt64u8LP46GQ+fg2Y/d32ruUR0U4CcddzjqknihmqfKIAc7h7lKfQmJl4LC\nXk5Js5FQq10Nbhp9F3gTL7cTTxxRVEBIfutVcb3+rUYouTqvc2QyhJ0cII0lNHXanwvUpOsjfiUb\nC8/SHR/MDp2XyHl+YyHLmIQRE715nYd5mS38xBkO3nB8FKE8/d9Ox/9NsAIwMYoaTCvA22uSMZhl\n9iz2FDBEe2AZCDQUPkQb1ErAgUT46kbj/HwpHwmz+kPfeZCtYev8w/dAp1bw9Dh9bsJFtRI97ZDv\nbq+yGtWgb094bZbuSxVIsD/8MhZ2nYLhi927thDwWgt9q15hulS85AnrD5FKJfwJdPIhND8ukYIN\nG+WIlHBlcOImazOCzomXEKKrEOKQEOKoEOKVQo5rJoSwCiF66Xk9xYEkzhNJeelxM8gmwMVxNs7S\nikhWcwkrbu4LaGATiTzNDjpRmpnc5pRVRC52FD5hDTZsDOFeh+wi4onjZz7kW2YRSXn6M4k2PEAQ\n4YRRmrt5ilUsIpWEG86NpTz30YqP+Q3bde91a6KoRiBfEnfDeaWEkVeNQbxiS0UpaIh2rKr1iiuk\nY+xngoV3qY72KYUM287L420gtiy8raHlCDDrNdh3BL5YqS1OfhTVSiwODvnursi9/jz89Cds2qH7\nUgUSEgC/jYPf98CnNxaCdaVnrKprPOqgka+zhBohVXLidVGxUU5S4nWKDGIIkhIrjniqEC1t1mMC\n5yhDNQlXVnzQLfESQhiBeUBXoA7wmBCidgHHTQV+g5uollgAyVySOhg7Fys2TBL7/YVRj1Ci8eUP\nLrtlPS3YUVjISaZymLepxyNUdGl8hWoZ8ReJpPI03Yp8r+M5y0+8z/e8S1mq0Z+JNKMrvtfteqxA\nDZrShZ/5EGs+gvk21CUAX/7KR+81jBiWcZb4fPR2fQz+pKPwbQFC+xoBMKQcjCiiLXh7ObUVM25j\n4cflIgTMGwjzfoODN+aEDuPvB5/OgBcn/b/DujvxpEO+J8T94aEw+zUYNAayPSjfDA2EL1+EkZ/A\n4SIqsjIxCOhSGVaf0id+oBHSJT+npqIQIumWmUgOkZLMt1Mlyl4sZGPEhMnBzkJJQc+KV3PgmKIo\npxRFsQDLgfvyOW4Y8DXgIYWBe7kZEi+AvlTmM87c4ClVnEgih1fYy3aSWUgTbnNxx46Cwpf8xUku\n8iw9Cm0vWrHwKx+zkrmUJ5b+TKIxnTEXUmFryJ2EUZq1LLthJ6NA8Dgd+ZmtXLnOPLU8/vSgLB9w\nozjFKARTjCG8bksrUGg/tiJsvwqri/D2ersNfHcMtjqYAFWIhDce0i6WblwPhvWFgZItJjzdSiwK\nT4n7H+oGsVVgyge6L1Uo9SvDW4/CI7MgK/9JWLpwVxVYlf/wCM0EGuGq5F2baYqdYEmJVzI5REjq\nmKRKtDbKIh1fN0lo3ImeiVd5IK+zT9y1v/sPIUR51GTs/Wt/VXzv4pJI0Snxsrg58WpBBCYEm0h0\n25qOYkPhG87Rm61UIZC5NHSptQhq0rWcdZziEsPpWWg7146dVSzCjo3+TKQRnTA78BQpENxJHy5x\nin2sv+HnZYigLfX4Kp9h2n2pzDaS8rX4aGXwoaXBh1m2/Lcm+hvVXY7PHYfsQhKkcD+Y0Q4GrwGr\ng4nU0LtUndciBwdvF8SYIaqp6gdLtcXJS3FoJWpFj1akEDD/TZj/OezcLyWkywzurLasR33qvjU7\nVYK/4iBHB1uLICOkS46bikKIkHMLTySHCElVpVQyCJaULGWTgZ8bNo25G3mzBm7EkSRqNjBaURRF\nqGYkBabv48eP/++/O3ToQIcOHbRen9uxkkM6VwiRJDr839g2zG5MvASCPlTmU07Tmshis+PkAKnM\n4Ai+GJhLQ6pr0C0oKCxjHWe4zAtFWEYoKPzJUrLJpAfPOl0a98GPe3iGr5hOKSpS5rodQd1oxng+\n5yBnqJ3HiiQQE4OpxiyO8iGNb2ijvmkMpq0lgd6KP1Xy2QF1byQsuAgz4mBcIQ4nj9WCxfthzk4Y\n0aTo12M0wkeD1Zl83ZtAtIv2QCYTfDoT2jwMnduoux5l0CWmS7FNtkbePpINZzb8V/W6viKX24rM\n/fmGMxukJY8VysLsV+Hx4bDjB3WQuScQAhY8A41egju3QM8W+q8Z6Q+1wmHTeegg2bkg0CC/1ZiG\nIq3ilSS51Siz4uVXQipe69atY926dY4drCiKLn+AlsBvef7/GOCV6445AZy89icNuPR/7J13eBTl\nFsZ/s5tk0xNSSaghAaRJk96l2SiKomIFRJQqAiooiAgWEFSkIyAgWAEpIiCCdBTpvYRQA4GQ3pPd\n7/4xaduyu8nsJnDz3ofHm2/OnG+SbGbOnPOe9wA9TfgS9wPuiOtimZhoF99jxSIRJ5Ls4tsccoRO\n9BX7xWER59B9TSFRZIlp4qx4QuwRm8RNoRO6EvnTCp1YKf4Sn4mfRJrIsGi/W6wWP4hPRKZIL9G+\nF8UR8a14V6SKRKNjR0WkmCC+E1ki2+ha+4uDYpO4adLn5znJ4sUs87+jqHQh/PcKcSmt6Gu7ECeE\n/xwhrhhfmlmMXS7E819ab28OXy4Wos3TQuTkWGe/+cJm0XV5V9F1eVex+cLmkl+Ag1HU9Xdd3lUw\nCb1/XZd3VXT/F6LNCowAACAASURBVN4S4s0PFHVZLBw4L0TQQCEu33bMfh/sEeK9Xcr7TcgWwmuP\ncv5ydDpRIfOm0OpKdp/LQ1+xX0SJFEV8TRWrRKSIVsTXefGf2CDmKeLL0ciNW0zGR/YsNf4H1JQk\nqbokSS7As8B6g6CvhhAiTAgRhszzelMIsd6Er/sC9iozguM5XiArqb9AVeZxiQwTsgaOgEDwOzfp\nx79ISKykOY9SsUQZOHkM0HauE8sIelkURz3EFqI4Ti+G42KlUnMCx7nA1+gMCPXhNKIOLfmDb9EZ\n/EwbUoOK+PEnh/XWVUiMoRZziSQJYx2H4SoPjokcdupMs6aru8LblWGkBaJ9RAUY2QRG2FA+/PAZ\nOHABNh+x/hxTGPEqODvDjG8t294PyvOlSe4HueT4x87SH1zeoiaM6QHPf+WYsULdqsFWO/C8PHJL\njUpxFZMReCKhUki1XvmMlzLlQbnUeG9kvGyB3QIvIUQOMAzYApwGfhJCnJEkabAkSYPttW9Zhr2I\n9VA6gRfAY1SkMm6M5jipOHbgWiQpDOEIq7nBdBowhlp4l5CnoEOwku3c4K5VivQn2cMxdtKbkbhZ\nUdbM4CanmMBpPiSZs5xnhhGhviU9UaFmH78Znd+XDmzjCLHoT5OuizftCWCBCaK9myQxxcmLcdpk\ncszc+UdXhvPpsMECZe+dh+BsnPUjVjxc5ZLjoAUQX4RaviWoVLB0miz0ecLCKKPSVJ53BBzRHODj\nDStmwOvj4VYptz2N7gHebvDhz/bfq2UIRCbC7TRl/TpJ4CxBhkLlRiU7GjPRko3AUwHmkUCQTLrC\npcb7j+NlVx0vIcQfQojaQogIIcSnuWsLhBALTNj2F0Kssef1lDbiicHXToGXo8n1eXBCxQfUoRru\nvMUxkxkXpXGFNL7kAsM5SjeCWURTm0f+mIIcdP3FLeIYQW+LivQXOcwB1vMkI/GiQpG2OaRxiYUc\npD/uVKcFP/AgX5DISaINAiwVKh5hIBc4xAX0hZUC8KYrTfiRv40CtsHUYBexJon2PSQNAahYojP9\nRNGoYE4EjLgIaUUkLzVOMK+znPVKsbLjrMuD8GRzWZW8JKheGT4bCy+PsV3y4NDNQ/dc1sscHNUc\n0LYZDHoOXh3r+FE+haFSwfLhsrbXn8fsu5ezGjpWhm32ynopFXgJnWLE+jiyqICzIjzddLJwQo2L\nQvRxuauxPPAqRwmQwG27ZLx0CHToSiXwArnUNZZa1Meb4Rw1OcC5pEggi1+5zkD+YxhHcELie5rz\nJJVQK3DD0CH4nr+4RTzD6WUx6LrGWbazip4MK/J3KtBxk038w3NkEE0zlhPGQNS44oQHDficKBaR\nwFG989zw5DEGs4NVxKGv49CVJtwhkWMG2S1vnBlKONM4ZyRuK0kSn6m9mKZN5a4ZeYnOFaCFN3xi\nYYh2p6oy+XjS/qLtCuOzF+BwFPxkpR6YOQzoC2GV4e2p5m0MM0IAcelx92TJ0RwcVYqcMAwSkmC2\nA7sLTSHIRx6o/cocuGvnaWXdq9tHVsJDwc5GpYn1foqVGVPxRrmOjIzyUmM5SooEbuNLkOJ+BaLU\nuwolJEYQQQcCeIF/WUwUKSUsPQoEx0hgEqfpyz+cJIlBhLGWVgwnQrGbRZ5OV4yVQdddovmDb3mM\nQQQVMew8mfMc5g1usIb6fEJdJuFq8Pt3pzJ1mMApJpJlMBoomGq05kk2sxhdoUDKCTXP04mf2Um2\nwc+4O8F44sQ6oo2up67KmadVrkzUmn9yzawB82/ChXSzJoAsL7H8NBy3sgzlroHvR8CIpRBTAnVw\nSZJLjlt3w08b9Y/lSSzM2D+D99u9j5+bn97x+63k6Ag4O8PKL+Hj2XDoROley8MNoNdDMGODfffp\nXBX+vmbZzlb4qCFRITZGFgJnhe756WhxU+ilXa68KCeWIHL/d7+hPPByEHLIJpM03PFS3LcaFU6o\njB7CjoaExADCWEQTosmgLwdYymWbuV+p5LCa67zEQT7lLA/gxa+0ZBJ1aYk/Tgp+bAWCdeznIjcY\nasXA63RS2MAc2tKHytQ2aZNDChf4kmOMIoTHacpCfKhv1qc/rajIo5xhKsIgU1WPNrjgxgkDDa8H\nqEJlAvnLIFMmITGKmizmMokmyr7j1Z7s0GWyT2c6KxmqgXerwCgLRPtAd5jcGt78C3RW3hcfCocB\nnWDYYuvszcHHG36cBcM/gqjcB6QhoX7q7qlU86lWso3KAUB4NZg7GZ4ZJmuqlSbeehyWbIcsOzIa\nInwhPhPiLLx82IqKLnBLoWKAPyruKjSyLQCNyekXxUEgPtwhUe9FsSQIphoxXFbEV1lCeeDlIKSR\niAc+ig/HzoMrLqTbocRXHFTGnQnUYT5NuEoaz3CAZVwmkhROkMgB7vIXt1lPND9wlW+J4msu8Aln\neZcTPMV+jpDAKGryAy14jiolJs2bgkDwC7s5QZRFcVSQB2RvYgERNKEurUzaZHKXg7yKlgyas5JQ\neln1Ow9jEDkkcY0f9dYlJDryHP+wkTT0M1V9aMtWDpFkoGgfjiedCWIRUUb7eEsqPnXy5m1tEllm\niPYjK0FkOqwxHh+ph9cflIX35hwt2q4wPnwGjl+BNf9Yf44pNG0A49+E50ZAdrZpQj1QphXq7yU8\n8xj06Czzvew1SNoa1K4EdSvD2n/tt4dKggcD4JjCTQWhLhCt0C06UFJxxwxlwFYE40oMmYpkllxx\nwRt37qBMhB5CDW6aaBi611EeeDkIySTgWcyRNdbADRcyykjglYequPMhdZlLY6JIYwKnmMVFfuQa\n27nNKZK4nfumFYwrDfCmO8GspDlTqE9TKtithKpDsIodRBLN2/SxqLQsEOxgFU5oaM2TJm20ZHCC\ndwjhcR5gHC42/L5VOFGXyVzle5I4rXcsgErUphn70J88HUwFWlKHDRww8jeIMHZwm4sYtxL2lDRU\nRc0cnWlFexcVLKolE+0TikhWqiRY0h0+2g9RVt5nXV1g8Zty1iuuhFydkf0hyB8+MFM9DHAPuOcV\n6ouCowdpT38PYmLhi0V236pIvNkd5m217x6NAuGowoFXiEa5wMsfFQnozHYp2wI31LihJl6hxqgQ\n/LiJhTlkVsKfUFJJIAPT96p7FeWBl4OQSjyeFjrfSgJXNGUm42WI6ngwibqsogWLaMpXNGIq9RnH\nA4ykJq8RxnNUoQehPExQscf7WAstOpbxJ9Hc5S2exMMK7a39rOMO13iU11CZ+LMR6DjDx7hTlWq8\natGfjgTSWav3lulGCLUYwykmkmMQMLWkJ5c5yS2DLNbjNOcIkdxAPz3ljTMDCOMrLhjPf5Qkpjl5\n8Y02lcvCdGTV1kdWtX/POGmmh1oV4N1mMOhP6zMhbetAnxYwuoSE7Ty+16oN0NH5E5PZrdLWw7IX\nSkOrzMUFfv5G1lLbZceMkyX0egjORcNpO/Cw8tAoSPnAK9QFbip0i3aSJHwVLDcGoyGGDEV8heJP\ntEKj5FSoCaKa0X3vXkd54OUgpJCAx/9ZxqssIgcti9lMIqkWxwDl4Qh/cYHDRQqkXmIhWcTxAOMs\nZuky2EwsrUlmLOnoRx9BPIwfLTjHNL2ASYMbbXiSHfygx5/wwJXHaM4v7DYKsHoRQiLZ7DAxf766\n5MQwtQfv5CTnTYcwwudhsPEu7LaQzRrVFJIyYfHJou0K49N+8Pcp2GJDmdIUAvxkvanZXz3E4q6/\nK5LdcnQmqTgoLa2yqpXgu+nySKGYUtL3cnGGgQ/Dgj/tt0ejQOVLjSEKlhpBLjfeVrjcqASUzHjJ\n/mpwEwuk03sM5YGXg5BCvF1Lja7lgZdFZJPDfH4nBy1D6YGLFbyxs/zDYf7kSUaabYy4ye/c4S/q\n8ymqIsj5OuJJ4HWSeQ8f5uPHHyQzmWyO69lFMIJULnGL3/XWH6AFapw4xR699Q40II5kThqQUJ1Q\nMYqazCaSTBOTBYapPLiKlvXC9A3XxwlmRcDr54seou2kkkuO4/bAdSvLh55usGAwDF4IySUkMXds\nCYOehSXfdGLzCyXLbt0Pqvf2xiMdoP/T8MIo0JbOwApe7wLf74ZUZZI0RqjnD+fjlR2YrWTGCyAQ\nFbFlMuOldOAVft/xvMoDLwchhQS7lhrdcCFdoTeW+xGZZDOH9WhwZjCP4WxFy/NlTrKLX+jNCLOD\nzeM5QiRzacD0IjldGWwgllao8MOfvWhojxM18WYaCbyKrhAZVY2GenxMJHNJLRRMSajoxPPsZz3p\nhUqRatT0pT0/mZCXaEIF6uDFSozFuVwkiRlqb8bnJJFs5s35qQB4wN2ytlf9ABjRGAZvs77k2K0h\nPFwfxq20zr4oTBgOmVkwfWHJ/NwrqveOUK8vCpNGyiN8phlJYTsGVQOhdW34aZ99/Ls5Qw0fOK1M\nxQzIJdcreIsOUjDjVRFXbikUeFXEj1vEK9bZWJEwYrismL+ygPLAy0FIsTO5vix1NZY1pJPJLH7D\nF08G0h21FZo1N4lkK0vpwZv4E2rSJo1rnGYCdfkID6qbtNERSwIDSGYSvizFm89QFVJidqMPGh4m\nkeF6pUIPwqjBm5xiAtpCAXUgVahJU/azTm+f+lSnEgFsMVC6BxhGBD9z3eSNtY3KhY4qDVO15uf5\nzI6AuTfhlAV+63vN4EYKrDxTtF1hzHhZ7lDbbcM5puDkJOtNzVwM+w9btrcVZa386Cj1enNQq+H7\nmfDVUjhQwjmcxcWb3exLsleaYB+ikTNeSnWFBqDitmIZL9f8RqeSQu5sdCPWxASN4sANT9zx4a4J\nbcJ7FeWBl4Ng74xXeanRNFLJ4EvWUIkAXqarSWK8Ie4SzUbm043+hBBu0iabJI4zljAG4cdDRscF\ngnTWEksbVFQigD24mJGg8GIqWq6Sxny99RCewIMwIpmjt96KnkRylBj05bWfpT3bOWrUyh2CK09T\nmTlmeBKT1V6s1mVwVGe6q6mSBiZXg9cvFK3Z5ayGJd1g9C64ZWUTUgVPmPMaDJwH6SW871cJhYWf\nyPyjhGLe801lkjpU61Amy4+l3ThQJRQWTC3Zz7sk6N4Q7iTBf3ai/zQKgqO3lfPnqpLV6+MUklsM\nUlBSIkjBUiNACP6K87xu3UflxvLAywEQCFJJwAMfu+3hjoa08lKjHlJI50vWUIvKPE9HVFZIU6SS\nyG/Moh1PU92M6KlAyyk+IIA2hNLL6LiOuyTSnxQ+w5eVePMxUhFjNCQ0+PIdqcwkmyOF1iVqMYY7\nbCeZc/nrrnjQil7s5Ee9LJkf3nSjKT+x02iPF6nKSRI5grFsvL+kYqLak9HaJHRmXscHh8iaXQtv\nmjycjybBMLC+PMvRWvRuDo2rw0e/WH+OOfTqCk88DIPfL15mwVQmaeeVnfdE+dEaKJ25690NHmkP\noz5W4OJshFotc70W/2Uf/40C4YiCgRdAJRe4ptBtOhgV0Sa4m8VBCK5cJx2dQirxofhzhRhFfMn+\nwrnGWcX8lTbKAy8HIJtMVKhxsoMIaB4C8OG2iYfq/yvukMDn/Ex9qtOHtlbpgeWQxQbm0oB2PEAL\ns3ZRyNLr4QwxOqblDnfphIrKBLATFxPZMFNwojpefEoCbyAoeMg7400Yg7jAl3pBVj1ak0M2F9Gv\nq3WhMTHEGxHtXVHzJuF8w0WTN9cXVHJg+JPO9FuvSoK5EfDhFbhrQe5nQgs4FANbLhdtVxizBsCS\nHXBUga7xae/BiXPww/rinV/amSR7wV6NA5+9A3/shKOnLdsqjZ4PwRY7Dc7Ok5SwdjKDNXjQA46Y\nr+rbhIdULhzQZZntSrYFAWgIQMMphcqDTYjgX84pFsjVpCkBVFbEV1lAeeDlAGSRjkbBwaGmEIIf\ntxRM7d7LuMwtpvMrnWlEb1pbFXQJBNtYgQ+BNOMxs3Z32c8tNlGXSUgGXDFBDon0x5W+eDMFqSh9\nsMwLEDMRCuloudIHZ+qSjH76IIQn0JLBbQr65yVUtONp9rKGnELCh06oeYZ2/MIutAZvw10JwgmJ\njRinrVS5Q7Qna5PNEu0f9IRnA+GDy+a/LZCJybMfhmHbIcPKskqwL0x/CV6eDRklrJi7ucr8o7em\nwAUFArnSJrIrBXs1Dnh7ycO03/28xK5sRr0qkJYJl5RLruQjwA18NdaLA1uDZl5wUKEh37VQkw1c\nUSjr1YEAdpqQnikOqhOMM05c4IYi/jS407yI+/K9hvLAywHIJB0XOwdeQfhyl2RyFPojvFdxgii+\nYT396ERHGlp93n9sIZ5bdOFls4FaBjc5wxTq8hEu+BkdT+ZDQIMn48xvJATEL4FLrSFpNdz5NP+Q\nhIQ3M8hgLZnsLrSupiajiGQu2kLZsCo8QAVCOG5QWmxAGH5487eBTIWExGhqsYBLJJjgAzZTudBe\n5cKXWvMErY+qwdpYOGzh4fFomDx2ZdrBou0K4+UOUDMEJvxo2dYSmtSHj0ZCnyGQmlYyX0oS2csa\nSV8pvP68PDdz627LtkpCkqBzA/jLTgO8mwTBYQXLjQ8pGHhJkkQ7lQu7zMxdtRUdCORv7igyOkhC\noi312IMN4n7/RygPvByATAdkvJxQ44/X/3W5cQ8nWc42htCDRmZI8aZwkcMcZwc9GIKzGR0uLemc\nYDxVeQFfEwFdOqvJ5Hd8+dYoE1bgJB6u9YXYLyFsB1TfCnFzIG1/vokKP3z4miSGoiuU9velIT40\n5Aor9Fy25Sn+Y7PeSA0Jib60ZxMHSUY/6qiNF10IZp4ZouqHai+W6tLMKtpXcIap1WFYpOUSzFed\nYNYRuBhftF3+dUuw4HVYuQd2nrLunKLwxgvQqC688UHJO8mUKD+WtkaYPTN3zs7w6Vh45zPQObjr\n366BVzAcVjCb1tgTTqUVrYtnC9pLLuwSygReNfEE4LyJMWPFQUvqcIIoUlB42vh9gPLAywFwRKkR\n8vRT/v/KjQLBevbzBwcZw9OEE2L1uVc4zXZW0YOhZrtOBTpO8xGehFOF542OZ3OSJN7BlxWozHWu\npu6Eiw3BORTCD4JrfXCuBKHz4doLoC2oZ2johgudSGa8notwhnCDNaQXaqv2J5RwGvMvm/RsQ/Cj\nObVZb2aO437ucsLEINtQSc0wtQfv55h/Le9fEXIEfG8hE1DFSx4nNGy79YFPgDcsGgyvzIGkEmaq\nJAnmT4HjZ2He9+btHJWFKm2NMHtLUDz1iFzmXbnOsq2S6JIbeNkj4GuscMbLQw0RbnBcodGDHVQu\n7FSI5yUh0ZkgtqPMN+yBKw2pwX5KqBVzH6I88HIAHFFqBPlhe0OhGVn3CrRoWc42TnCZd+lLsA2S\nHdFEsoUlPM4bBFHVrN0l5pNNIrV5x6gMqSOBBF7Cm09xpoHxySIbYt6Ha89D6AII+RpUhbhf3r3B\nsxtED9U7zYspZLGbjEIBlSvBVOFZIpmtZ9uSJzjDfhIN+BlP0IIjXOSawbonTgwngi84T44JHaCh\nKg9Oixy26ky3X6kkmB0uz3FMtMDheqsJXEuB1ReKtiuMx5vKUgEjl1p/jjm4u8HquTBplmm9qdLO\nQjka9mwckCT4Ypw8tDzDgQ3WVQPB1wNOWBD5LQ7ySo1KaW8BNFew3FhNcsITidNmMtS24mGC+Ivb\nipQbAdrRgN2cUMzf/YLywMsByCTNIRmv6gRzWcEW3rKODLKYwwaSSGU0ffAuJExqCXe4xkbm0Z3+\nVCLCrN1NNnKHHSbHAQl0JPI6GrrjRl/jkzMvwqW2kH4EIo6A16OmNwmZCRmHIKEgLaPCCx/mkcTb\n6AoNwK5CP5I5Rzz/5a954ENjurCbX/XceuBKD1ryM7uMbnxdCMIHZ1abIL+6ShIznbwZk5NEqhmi\nfXNveMwPPrpi8nA+nNWwsIssL3HXhorDjJdlUdW1/1h/jjlEVIdvP4W+w+COwXuJI7NQ9wtJvyi0\neQia1odvljl2X3uVG0M8QC3BdYU6EQGaeSoXeIGc9fpboXJjLYXLjeGEoEbNea4r4u9+QXng5QDI\npUZ3u+8TRkWiuPV/8XaRSCozWI0vngyhB65FzEg0RDy3WMc3dOJ5qlGvCLuixwGl8Bk6UvAy6EKU\nCfTfwaVW4PsCVPsdnILNX5DKHSr/ADdHQVYB98qF1rjRlyTG5q+p0RDOMC7wFbpC44Ga0JVYbnAF\nfXJUO+qTRgaHuai3nke0X8YV7pjQf+uk0tBS5cznRRDtP60Oq27DfxYeIm0qwbO1Yfj2ou0Kw9MN\nVgyHNxfBLSs5YkWhZxd4sTc8P1LZ+YK2lClLW23eUfj0HZi2EO4q8HuzFl0awDY7BF6SlJv1UvB9\nVsnORoCOKo1iBHuly40SEu1pwK5ykr0eygMvB8BRpUZfPNHgfN8T7CO5yef8xIOE8RKdrRoBlIck\n7rKWr2lFL2rS1KxdGtc4xQdmxwFlsIl0VuLLd0iF9dmEDm68ArFfQNh28B8h371NIbPQk8mtEQSO\nl/leokAewpNxZPEfmezKXwukI874El1obJATznTgWf7mRz15CRUq+tKe1ewmy2COYzXc6UUoswyC\nsjxMVXuxSpfOCTOK9oEu8EUNGHgesi3wa6a2gf9iYK0NJcdWteG1zvDafGVKPR+/Lf93wsyCtZJk\noYpTprxfNcIKo3YNeOZRmDrHsq1S6FQf9pyFLAsac8VBnp6XUmjgAVEZkKLQC0A7yYX9Iotsheqh\nSpcbW/AAp7hMEiUkbd5HKA+8HABHketBznpFmtBpuh+gQ/AHB5nHBp6hPT1oaZVGVx7SSGYtX9GY\nLtSjjVm7bJI5zlhqMAg/mhkdz+ESSYzAl+9QE6R/8M7HkHU5l0BvgvMFkJMK+wfCL34QX0jywX8k\nqH3g9pT8JQk3vJlCMu8hcgMnCYmajOIyi8kuRJAPowEVCOYI+lLetalCNYL5E+Mhhq9QjTMkcdBE\nU0agpGai2pNRRSjavxAkD/+dbqGS4O4MS7rD0O22lRwnPg3R8fCtAurkajX88DV8/xtsyPVXkixU\naZPlyzI+HAHL1sAVZWScLMLfCyIqwr+m3yFKhEaByo4OclbJwdchhbJe/pKKapKag0KZqDOv3HgW\nZS7QHQ2NiWAvCrQq3ycoD7wcAC1a1Dg5ZK/79QOeQRYL+J1jXOJ9nqdxEbwsU8ghm43MI4ImNKaz\nWTuB4CxT8eMhQult4ng2ibyGB2NxMQzKUnZA3Hyo8hOozATaCafgj+agy4aHZsG+V+T/DyCpoNJS\niJsH6QVy3Bp6osKPdJbnr3kSTiCduII+maY9fTnMVlINOhafoi1/cYRE9EuHrqgZQQRfcdEk0f5F\nlRsq4Hud6WhJkmBeTZh5HS5ZCKjaVoKna8K7Nmg9uTjD8mEwfhXcUKBvJNBfDr5eHw+3c6lz92MW\nqrT1woID4dnHiz89oDho9wDsPWfZzla0CIG90coS7LtWgN8VbEDvrXLlRzN/o7ZCQqIXofykIC+r\nC435iyOkl4+1A8oDLwfBcZyrJkQQRzKXueWwPe2NGOL5jJ/wxI3R9KECXjadL6vSL8cDH1qbmK1Y\nGNf4kUzuEMEIk8dT+AwVAbjzuv6BnDtw/SWo9B04m5CzEAIil8KfHaHuGGi9DGoPA7dQODG1wM45\nBII/hejX8lXtJSS8mJrLKSsIqKozgJtsIr1QhtOXIOrSmv3o9/QH4kNr6rLBhLxEOwKogDPrzSja\nT1N7M0WbQoIZon11VxhbBYZetPxwmtJGHiW0y4Z7ev2qMKQ7DF2szMOvzUPwylMwuIT6XmWVLF9W\nOjX7PAKrNztuvxY17ZPxquYNni5wRsFA6ekA+DVWuWDuRZUb63QZJCo0NPspKvEPcVxXSIOrEgHU\npzpbOKSIv3sd5YGXAyD/bVlfEisJ1Kh4mEZsw0Tv/D2IE0QxnV94mEa8RGeci5E5/JdNJHCbbvRH\nKuIjn8BxrvI99Zhi1MEIkMVe0lmJN7P1S5xCwPVXZSK9l4mMSXaKnNk6/QV0/RvC+8upIkmClovg\n/Fy4W6gMWGEAqLzh7tf5S840RENXUikgKGnwpzJPE8UCve2a8zhRnOA2+v31j9KMo0Ryo1CXJMiB\n3UhqsoTLJGNcrmikcuYxlYZPteY7nUZVgquZsDrWrAkA3hqY1QkGb4NMGzrgxz8F56JhjQJdjgAf\nvQWRV2DF2uL7cDRZ3tosVlkpgXZoAZdvOK7c2KIm/GMDh9AWdKwMf19Tzt+DHqBGubmNwZKaTioN\nPyuU9fLAiScJZSXKaXT0pCW7OGGUdf9/RHng5RA4tsuwLfU4zVXiFBp4WhrQIfidf/mev3iTJ2hv\nSiPLCpznIKfYU6QqPUAW8ZxmIg8wHjcTAqxaYkhgED58Y8zruvsVaO9C8BSj84g/AX80A5UTPPov\n+Bp0UbqHQtOZsP9V0Oam4SUJQhfK44QyI/NNPZlAGsvJKTQAuwrPE88hkimosWhwoyU92MUvegRZ\nD1x5ghb8wN9GxNmaeNIWf77DtD7EBLUXq3UZnDZDtHdRwbwIGBUJyRYCqt4RUKsCfG7DOCGNsyys\nOmIJxCvwsNJoYPkMGP0JXC1BYOCoMmVZyWLZAicn6NkZ1jgo61UjGDKzlSlJG6JjFfhbQUUESYKn\nA+Wsl1Lor3JjqS5dETFVgL5UZju3TXY9Fwd+eNOaumxEobenexjlgZcDIBA2kcBLCjc0tKIO2zlm\n2bgMIo/PdYIoxvEc4YQWy891zvM3P9GDoXjgY9ZOoOU0kwimOwEmSPeCLBJ4FXdeQUNX/YPph+QA\nqcoPIBXubhRw4VvY9jDUHwetloCTGZ2xsBfAswacmFywpgmHwPcgenB+PUJNRTwYkjsTUoYTHlSn\nP5HM0Qum6tGGDFKJNMh8tqcBGWTxL8ZkmNepwSZucc1E95G/pOI9tSfvaJPN3tjb+8rclYkWtL0k\nSR6iPesInLdBcqBtHejVDN4pQoXeFjSqC28PgJdGQ44y+pN2gy1ZrLJUAn28E2zd45i9JAmaR8A/\ndig35mW8a/YAngAAIABJREFUlOR5PR0Av9xRzmd7yYUsITigEMneFxceoyKrFMx6PcJDHOYiMThQ\na6QMojzwuk/xMI3Yx+l7jsxoyOfyze2wsRU3uMgmFvIogwikcpG2l1iIIIcwBpk8nswHqPDGo5Ce\nFgDaJLj2HIR+Ay5hBevZybD3RTj3NXTbBTVeNr2xNvdpL0nQYj5c/BZiC6WB/N8CbQIkfJe/5MEw\nsjlEFgXzHUPoSQa3iSv0JqlCTXueYQ+rjeQlnqcTq9lj9Nnww4V+VGEOkZhCf5UbCehYq8sw/f0A\n02rI2l6WSihVvOCDlvDGNtsePJ+9AFuOwuYSVtLzynbbPR4hKfsuH80qmb+yhLKkF9apFew9BJkO\nug01rwn/2qHcWNUbvFzgtILZtCae8ugtpcYHSZJEf7U7S3XKyTb0oyqbuEUCyuiEeeJGFxqzrtD9\n6/8R5YGXQ+DYjBeAP97Uoeo90+GoRcdWDvE5P5eIzwVwk0v8zny6M4Aq1C7SNpp13GE79ZiKysR+\n6fxIJtvwYYE+P0wIiH4TPDqBz7MF69kpsKUNqN3gkX/Ap47xpjot/DEJJgTB3cvymltFuctx/yug\nzQ1sJCeotAhixskBGLK8hBcTSWI8IrcLUYUTEQzlIrP0RFWrUgd/KnEUfeXScEKoTzU2mEj596Uy\nF0nhPxNvpOpcov1EbbJZRfsAZ/ikOrxxAbQWAqphjSAxE5afLtquMLzd4buhMHAexBazkl64bLft\n8hbO1mnKvB8y+NOGbktHw9YsVlnp1KzgAw/UgANHHbNfCztlvCA361XGy439VG5s1mVyVyGSfSAa\nOhHILwp2OHamEZFE31cNYLaiPPByABxJri+MLjRmO0fRmpAJKEu4Qgyf8iOnuMJ7PFtsPhdADJfZ\nwFy68SrVqFukbRz/cImFPMgMk8r02Rwjiffx5XtUhscTlkHGUQj5Sn/94FDwfwhafQtOJqYVpMTC\ngsfg4g5oOQh+HFAw3bdaX/CpB8cKSom4NQavXnC7oAzpytNIqMjg5/w1f9riSjA3DMYGtaUPh9hC\nqgHf70na8C9njYj2GtQMIZxZXDApL9Fa5UIrlQszi1C0718RnCVYZEFOzkkFC7vCO7sh1gZO8MMN\noF9beH2B7WWaLRe30G9NP72yXYbzFao/MZGXx0B0GZ24VZayWLaiSxvYttcxezWPgEOXlJ1OkIeO\nVZQl2IPy5cYKkorHVRpWKUSyB3iRqqwhmlSUqce74MwTtGQNe/8vpqyYQnng5SA4PuySxVQr4MUR\nM8rkpY0MsviFXXzDOjrTmLd4kiATAZC1uM1V1jGbLrxEdeoXaZtCJKf5iPpMxd3EgGwd8STwMt5M\nx9kwgMs8C7fG5up1FQquIpfB3YPQ7BvTm175F2Y0hUoNYchf8MQnkJ0Be3IlviUJms+FS8vhTqFU\nfPDHkLACMmVeloQKLz4hmY/R5XYISUhEMJIrLCerkBhqBYKpQysOGMhLeOFulmjfiUC8cWYN0Sa/\njY/UXizVpXHJzGBeVa6218QrEGOhQtE0GPo9AGN2Fm1niCnPQ2QMfPe39efkZbri0o11AfxqHOWN\nfvDCKPs8tJVAWcli2QpHBl5+XlDRF07bYTRgHsFep/DA7DQdnFZQ1H2Ayp2l2jSzose2ojLuNKcC\na0zMdS0uWlOXBFI5rSB/7F5CeeDlEJReVN+FxvzJ4TL3ZnGSy0zme1JI50NepBV1SlSOjeVG7vzF\nftSgYZG2mcRynDHU5C18aWR0XKAlgdfQ0AM3ntI/qMuQeV3BU8C1UHCXeAYOj4F2PxuT6IWAPfNg\n0RPw5FfQcxqonUClhn7fwZbJcCeXmOIaCM1nw75XISf3buwUJBPtb76d79KFFrjQgjQKgjwPqlOR\nR4lknt72LXicSxznDvqv63lE+38MiPYSEmOoxVIum+xoCpXUjFB7MC7HvLJ1Aw94NRhGXzJrko+P\nW8P2a7DdhnuwxhlWjoB3VkCklRULQ4J6HvLKdh8Mk4PGyfcR36ssoHVTOHkeEh3UZN0iwj56XlW8\nwEdhnpckFWS9lMJDkjPuksROhQZnA7xENX7iOpko81aiRkVvWrOGPejK2LPJESgPvBwAFWq0Cn1g\nbUVDaqBDsNXEuJjSQBbZrGIHq9jOi3SmP93xKuEA8STiWMcs2vMMNWlSpK2ObE7yPiE8QTDdTNqk\nMgtBOl5MMj54+0NwqQEVCgmo6rJlMn3DKeBrkGnLSoOVr8DeeTByLzz4pP7xoFrQ9X34uaB7kap9\nwK8RnPykwM5vOGSdh5Rt+UuefEgqC9AWGmhbnQHEccBAXsKd5jzOblbrBeB5RPu17CXTQL+rOh70\nIpTZZrKlQ1QeXBQ5bNOZZ01/WA12JcLuRLMm8vfhAt90kscJZdnwZ1K/KrzbG4Yvsf4cQ/i5+eWX\n7dRq+P5LmLUMYhR4EJa2enxZgasGGtWBww6im7aoCQfspOfVtRpsilLW5/NBsPy2ZU6ktZAkiddV\n7swugg5gKyLwpD7e/Kpg1qsx4bjgzH5sIHneJygPvBwADW5kltKAUBUq3uQJtnOE41iRfrAjrnGH\nT/iRdDL5gBeoS7US+8wkjfV8Q2O6UJvmFu0jmY0z3lSnv8nj2RwmjTn4shDJkGyftl/mdoXO1x98\nffIzcA2CmgZq9rGR8FUreXD2W/shsKbpi2o3DNIT4NDKgrWmX8KFBZCYG0CpXGRF+1tjZX+AE9Vw\n4zlSmZ5/miwvMZCLfKMXZNWnHcnEcdXgJhdOCBGEmp3jeJxEjpgg2rtIElOcvBiXk0SmmZKGhxqm\nh8Hwi5YfKj3DIcwbZtoobD3iUTnj9YcVXY6mCOqrnlqlV7YLCYKnH4VFP9l2HYa4F3W37IkaVeGy\nHcp/ptCyFhw4bx/fT9eCXxT23cxLbkr5Q0Fl/OdUbpwTORzSKZf1eoMarOQqSSZElosDCYln6cBv\n7Lvnuu9LivLAywHQ4FFqgReAH14M5nGWs41o7KAuaAGJpLKGPXzNWh6lGQN5BHc0JfYrz1+cT2Vq\n05guFu1j2Eose6nDBJMK9jpSSGAQXkxHbShBoU2Eay9CyBy59JeHuKNw7htosUg/GDu1UQ66Wr0O\nL64AjQkNr4RcYrvaCZ6ZD+vHQlpukOMeCvXHw8FhBZkw7z4guUFCQYDmyRjSWU0OBa/hITxBFvHc\npUBASY2aNjzJHtagMyDNP0lrtnOUBPQ1INxQM5wIZpoh2j8iaQiXnPhGZ/7Num8g+DjBQgtEe0mC\nOZ3hi/8gMqFo28JwcYYZr8DoZZBtgftrLUF92MswfxVkl+D5UlbU4+2B4mTyqleCKAcFXg9Whajb\nkKwcvzwfHSrD5SSIspDFtRXDQuEb05TKYsFFknhL7ck0BbNe1fGgHQGsUJCXVZ1gHiTM5Ciz+xnl\ngZcD4Io7GaUYeAHUIISnacccNpCi0PwtS4ghnhX8xSRWkEk243meFjygiO+8+Ysa3GhPX4v8sFQu\ncYGvqM8nOONt0iaZ8bjQAjcMyoFCwI3Xwasb+PQpWNdmyaOAmkwHj0KB2tap8MubMPA3aDdUPyAD\nyM6CmW/CM5Xgyll5rVpzePAp2DiuwK72cMiIgau/yF9LElScDrc/gNyuJRX+ePAmKRSo5svyEsO4\nyBw9eYlwGuGMhtPs07ucAHxoQz3Wm9DW6UQgvjiz1gTRXpIkpjl5M1ebSpQZor0kwZwI+PAK3LTw\nUhvmA+81t13b6/EmUNkfFvxp2dYagnrDOlCjCqyzwt//G4qbyQur4riMl4szNKoOB+3A83JSwZMR\n8KvCWa++gXA0Bc4p+Jh4UeXGcZHNMTPTJoqD1whjA9HEYF7Lz1bIHdbnuI6CRLcyjvLAywHQ4F6q\nGa88tKQOTYlgAb+ToZAgnilEcYv5bGQ6v+CLB5N5mefphJ+Nw62Lwj5+I5E7dGcgKgsf4xxSOcF4\nwhmKF7VM2mSwjix248XnxgfjF0DWWaj4pf76iY/Bo5q+QOqJdfDPYnj7IIS1NvZ19yaM6gRxt+DV\nj+CLQQVyEo9NhZPr4XLu25/KCZrPgUNjCoj2Hm3ArSncLWCAuzOELPaSTYFYkh8tcSWYaH7LX5OQ\n6Mhz7GcdGQbz0h6jGSe4zDWDm5+ExNu5RPs4E5+ZqpKakWoPxuQkmVW0r+8Br1WEt6yodL/VBO5m\nwIozlm3zr1GCma/A5F8hzjzf3yYMexlmryj++WVJPV5JFDeTV70yRCksxVAUWtayH8/rGTuUG11V\n8t/IXAWzXq6SxHC1B18UMWPVVgSioTeVWIRyRDdP3OhJK5Md1vcrygMvB0AOvMrGYNDetCYQH8ax\nhGX8yUVuKPJhFwhOEMUX/MoiNlGLykylPz1oWWLyvOE++1lPJEfpwdAi5y/m2Z9lKhVoQgiPm7TR\nEk0SY/BhISrD4DD9GMR8AFV+BpVrwXrsQbi4EFouLMhoJd2SSfIvrADvisYbndwHg5tB80dh8mp4\n/h1ZTHVD7pBrd1/o9QX8/EaBqn1QOwhoAWcKhmMT/BnEToccuVSpwgNP3iWJ9/N/l7K8xHAus5Rs\nCqKRIKpSg0YcYIPepbmh4TGas5rdRp+HMDx4hIrMN8MRHKLy4CY6fitC0X5CVTiUDJss8FicVLCo\nK4zdBXdseFepXxWebgkf/WL9OUXhyW5w4TKcOFu88x2pu3UvkPjDqsgDsx2FljXtx/PqVAWikuCy\nwuXGN0JgxW3Ls05twasqd/4R2WZnrBYHL1GVA8RxAeUCurbUI5sc/qGYf3D3GoQQZf6ffJn3LqLF\nRfGD+KS0L0MPCSJFbBH/iQ/FcvGB+E5sEv+KOJFss59EkSr2iVNiklghJovvxT/ijMgRWjtcsRA6\noRO7xa9ihfhIpIpEq865IlaKg2KA0IpMMz4zRKzoIpLFF8YHc5KFOFdLiPgVBuvpQqyvK8SlVYUc\n6YSY94gQv08wfSHrFwjRK1CIfRv116NOCdEzQIiYawV+5nQWYsfMApukSCF+8hMi9UbB2o0hQkSP\nLPR95Ig7orVIF7/puT8jPhEXxDd6a2kiWSwQo8UdcV3/2xI5YoJYJo6LS0aXnyKyRQ+xR5wy83Pf\nr80UD2TGiASd+d/9n3FCVDsgREqOWZN8vP23EC9tsmxXGLcThAjoL8Tpa7adZw4ffS3E4PHK+LIX\nNl/YLNymuAkmIZiEcJviJjZf2Fzm9svOFsKlthAZGXa7ND1cixUicID852QPvLZFiOkHlffb55QQ\nc25YtrMFX+Uki/7Z8Yr6/FVcFyPEEaETyv2Ao8RNMVYsEqnCQR8SOyM3bjEd05g7UJb+3euB111x\nU3wnPijtyzAJndCJS+KmWCG2ibfEPDFLrBX/ifMiS2Tr2aWJDHFR3BA7xXHxg9ghZohfxWixIP+c\nU+Kyon+Epq7zb/GjWCWmiDQrA8RYsV/sEY+LdHHTrM8EMVzEiReFzjBY1OmEuPqiENcGGJ946B0h\ndvbRv6vvmi3EjGZC5GTp22ZmCDF9kBCv1BXi2nnTF7p0khDjehT4izknxHh/IeKu6u+5r3/B19kx\nQpz2FyLjYv5ShtgpbosGQifSCq3Fit3iEZEm9O/mR8UO8Yv4wuh3dkxEig/FcpPB8yZxU/QXB4XW\nzO95eHaCGJtddED84hkhRkcWaSKEECI5U4hqi4TYetmybWHM3CDEY1NtO8ccbt4WwrehEPHWxfjF\nwuYLm0XX5V1F1+VdixUwdV3eNT8IyvvXdXlXO1xpAYp7zWHthbgQZb/rMkSl14WIvGUf31uihGix\nUnm/O+KFqHNQ2YAxWacV4Zkx4pwu27KxlcgWWvGsOCD2iVjFfAohxAqxTfwo/lbUZ2mhqMCrvNTo\nAJQVjpcpSEiEUZEX6cznDKQZD7CT47zHEr5jK9+wjnEs4V0W8zO7iOIW/njzCA/xAf2YyWCG05u6\nVLPbPEqBjh2s4hZRPMUo3KwYnJ3MWc4wmXp8gismyn5AOkvJ5iA+zDXuckz4DjIOQ6iBmuad/bKy\nfPO5BSXGW6dh8yR48XtQOxfYxkbDWx0h6S7MPQCVzchJ9HsPoiNhZ+64n6Ba0HYorH2rwKb++3Dj\nD7ibK/vgFAT+oyBmfL6JhvY40YhU5hRa86cyfblkIKragPZkksYF/jNYD8Mbd/Zw0ugyHyEYZyQ2\nYrpF8SO1F7/pMjhSRFljZg1YEQOHLXCxPF1g7sMy0T7NhirJ0O5w4VbJh2gDVAyExzrCd79aNC0W\n7lXJieIq6Duc52XncuPFBLiqsChsBx9QA9tt6Oy1BE9JxRC1O9MU5Ho5oWIo4czmosmO5+KiN605\nyDkjrul9B3MRWVn6xz2e8coR2WKWeMOuGSGlcUckiO3iqDgqIsVtkWA2y2FvaIVWbBXLxM9imsgo\nlMkpCmniutgjeojbRbw5ZYq9IkaEi2xhIv2SfkqI0wFCpJ/UX89OFeK3WkJc+bXQWqYQ0xoJsW+h\nvu3xPUL0CRVixVSTr6+6pCSR/fMPBQsn9wnxVIgQiXflr7PShfg4XIiThUqT5+YLsaVDgT9tqhBn\nKgmReqDgckSUuCXCRE6hDFeOSBd7RS+RII7rXcN1cV58K94VmSJdb/2quC3GiIUixWBdCCHOiiTx\nuNgjEkWW0TEhhFiVkybaZ90ROUW8si+5KUTTQ0JkW/GRem6jEO/usmxXGOsPClFnpBBZCrzg7zsk\nRERHIbR2qJ4rka1ydKmxJBjwjhALf7BspxSmrxNi+GL7+R+4RYgZ/ynvd/4NIXqftGxnC5Jys15n\nFMx66YRODBGHxW9C2droTnFcfC5+KrVnjlKgPONVulDjhBMuZTbrZQoB+NCJhjSkBoH4oCqFaZMC\nwXZWksQdejEcDW4Wz8khleOMoRqvEEgHkzY6YklgID7Mw4kaBgez4PrzMoHdtZ7+sWMTwK+xrCyf\nh60fg28VaPlawdqGhTDxKRj7Lbw43khOQnf+HJkdW5Dd/3m0G3NnKNZrBe2egkW5chLOrvD0XFgz\nXJ7nCBAxEDJj4cZG+WuVOwRPhlvv5usvOFEdd/rryUuocSWM14lkjh5xvhI1CSWCw+jrJlQhkIbU\nYBP/Gv3sauNFewJYwRVTP1qeU7nijsTPRRDtXw0GNxX8bMVL7VcdYf5xuGuDAsoTTaGCJ2w+atnW\nElo2lgd+nTxn0VRxWEOav5eGZ1cNhWsW9NyURKtasNeOXO2+teAHO/h/MVie9nBJQdUfL0nFULU7\nnymY9ZKQGEY4i4lSbIA2yER7LToOYENr8z2G8sDLQfAliHhiSvsy7ins4zdiuU4PhuKCq0V7gY4z\nTMaXxlSmjxkbQSJDceNZNHQ1NrgzBZyrQYUB+uu3tsOVn6DZ7IK1mydh73zoW0jJ/sReWPohfLMX\nWjxq5F77+3oyu7XDadgoXDZsI/vdtxBpuQH5wI9h91q4dEL++oFuENIAdn4tf61ygkZT4egH+er1\n+L4MOTch9a/8PTwYQSZbyaGgzlKR7mSTRBz/6F1PK3pyjB1GLwU9aMk+ThNvonPpZaqxgZsmFawl\nSWKE2oPFOvMvGZIEb4bCyttmTfIR7AEtK8JuGzriJAkaVoOrsdafU5Sv7GzwslzdthlFSU7YUoa8\nV4Zne3lAigObu5uFy2VnpSRGDNG5KtxKhWMKV8U81DAoBGYq3AX6usqdA7osRXW96uBNc/xYbuZF\nrDhQoaJf7iizVAX1wsoSygMvB6ECFYnHymm+5eAQW7nEMXox3KqgC+AKy8gigZqMMmuTxgJ03MGT\n940Pph+CuPkQukA/S5UZLw+tbrkYXAPkNZ0WfhwEj00Bn1B5LSMNPnsVRs2FyhF6roVOR/bHE8l+\neyiaXzbg1H8Q6k6dUT3UgpwZn8lGXhXg5Ykwe1SBgmjP6bBjOqTkRhGVe4LaFa78LH8tOUHQJFny\nIvccFT64M5wUCmY9SqgJYyBRLNLLevkSRBgPcpiCGZAAPnjQhnr8wUGjH1NFXGlLAGvNzG3rJmm4\nJbQcLeIG39Mf9ibCHSvk5DpUgZ02im9W9IWbxpOObIYQcCsWggNK7ssQhtmq99u9z4z9M+i2ohvj\n/hp33ynfu7tBqmO0mwFZSLV1LfjbTqMA1SoYUB8Wn1De94hQWHXbur8Pa+EhqXhb7cFUBbNeAIOp\nwTqiiVZQmLsawTQhgt8MxJ7vF5QHXg6CHyHEmSEll0Mfp9jLMXbQmxFWEekBYtlLNL9Rn6mocDZp\nk80JUpiOD4uRDG10mXD9FQj5EpxDCtaFgH/fhCpPQmihbMLe+fKon1aDCta+fR/qNId2+sr3Ij6e\nrGd6oNuzE82u/1A1a5F/zPnTGeQsmosuMldmu+dgiL0B+3PLiUG1oPGz8OdU+WtJkrNexyaCLje9\n7/Ms6FIheWO+Xw8GkcU/eqKqgXRCRzax7Na7vuY8znH+NhJV7U5T/uM8sRgziF+gKr9wg0wTw9/V\nkkR/tTtLish6earhUT/41YqsVIfKtgdeIRWUCbwSk+UHuLvlKnexkJetGt1qNFN3T83PcB27dcw+\nG5YiPNwhzYGBF0DnBrDdDoFRHvrXg1VnIV25JBIAIRpZzV7JMUIAr6jcOSOy2a/gDMdANDxLFeYQ\nqZhPgF605hiXiLoPExblgZeD4EdF4u7DD5DSuMgR9vEbvRmJF35WnZPGVc4ylXpMQYPp1IQgjQQG\n4s1UnAgzNrgzGVxqgk8//fWolZBwAhp/VrCWcF3uYuy7EFS5f0LHdsGOn2C4fhek7uQJMjs0Qwqv\nicvGbUjBwXrHpdBKOI1+j+yxI+RGEidnGDoT5o2RRwsBdJ8IB5dDbK6AacXO4F4ZLi3LdaKC4KkQ\nMw6EHAhJuOPJaJKZWrAXKsJ5g0vM1xsl5EsgNWjEEQrKlQBeuNOBB9lkUJ4EWVS1Ht5sNPOZfknl\nxjpdBgnCfMdTvyD5rd4SHgqGC/GQYEPVIaQC3FSgMywmFiraIdtlCENFeB06VFLB7fl+UL53d4VU\nB9NcOzeAv4wbdBVDdR9oGgxr7TCeaExlmHdTWUFVjSTxntqTydrkvMY1RdCPKpwmiSMo147pjoan\naMNKthvNl73XUR54OQjlpUbLOMN+drCKngzFz4wEhCHkcUDvUYPB+NDArF0S43GmEW48Z3ww7V+I\n+xZC5+mXGFMuw6G3oc1KyOPiCAG/DoV2w6BiHXktPRU+7w+j5oGPf8G1/foTmY8/jNP4SbhM+wrJ\nWT/LlnfjcxoyEnH1Cro8on2LR6FiGPw2V/7aKxg6vAW/55ZH87JeJyaDNncAolcPUPtBwrJ8/268\njJZzZBVK1/vRChf8uMUmvWtpzqMms15dacIxoojBOH30ElVZxVWT7eRBkpouKg0/6MynOLpXgDNp\ncMVCQOWihuYVYY8Nb/8hCpUaY+xQZrRWab5hcMN7gjRvLTzcIc3BlJ1G1eF2Ity4a789XmsA39oh\nuItwg4d9YZHCj41nVW7cFTr+EsplvTSoGUI4X3MBrYJjf1rwAK64sBM7pi1LAeWBl4PgSxDJxJFj\ngpBcDpnTtZ/19OFtgqlu1Tkymf5jfGlIKL3M2mWwniz+xpsvjA9qE+DacxA6F5wLBXs6Lex7Geq9\nA36NCtaPrYY7F6DLewVrC9+D+m2grXwNIieH7PFjyJk0Ds2GP3F67kX96xaCq19/zZ6qVcm6fRvJ\n2RnnGbNlon1qbuAzZAZ8PxUSc58YHd+GS7vgai7nKrAV+D4IF3LHDeUN0I6ZCLklPgkXPBlHMh/r\njRIKZwiXWYy2EHHVh0DCaWTU4eiOhs40YqOJrFd9fAjBlT8xnbYaqHJniTbN7Ju1iwr6BMCPVpCT\nO1SGnTZoQFXyg+gyGHiZI82bItp/2vnTe4I0by3c3Ryf8VKpoGM92HHKfnv0rAEnY+GiAp83Q7xb\nGWZehywFEz5OksT7Tl5M1iajUzDr1YUgXFDxh4IJBgmJfnRiI/+QWEbG7imB8sDLQVDjhBf+JN7v\nwnA2QqBjN79ymn08w1j8CLF8Ui5kMn1ckWR6LddJ4m18+BYV3gabC7gxALyeAB+DLsjT02Tiep23\nC9bS4mHtSHh2EThp5LUjf8udiMPlzkOh1ZLVtye6UyfQ7DyI6sFGem616emcfvVVopcuxe/hh7nw\n7rsAqDt0QtWiNTnTcwnxYfWgU19Y9pH8tcYDun8I698pIN43mgInP4Wc3BuSewtwbw2xX+Xv50pf\ndMSRVaiM6E1dvGnAdX7Wu7bmPMYJdpFu0Mn4MI04w1VuYEzIepVqLOeKybfcVpIzzpLEriLerK0t\nN9rK8wr0hvgUyC5hmcaawMuWWYnmhkzfS7IQxYWHm+MzXpBbbrRjwkTjBC/VhSV2CO6aeEE9D+s6\ngG1BT0mDCtggMhXzKSHxFjVZyCVF5SVC8ac1dfnVgJt6L6M88HIgZJ5XOcE+D1q0bGUZN7nEM4y1\nmtMFhmR604OyBVoSeB133sSFh4wN7s6C7Otypkhv/RCc+RJaL5P5U3lYNwbq94IabeSv01Jg2gAY\nvUDuSARy5n4NKSm4rNmE5O+v5zbj6lX+a9cOXVYWzfbto/bs2cT9+T/2zjM8qqprw/ek0HvvHZSO\nIir291UUURQLICIKdlR8laqAoghiQ1EpUlSa0hERKSJSAoTeIZRQQiAhlfRk2nm+HyekTwpkkuCX\n+7pyQfbZs/eZM5OZdVZ51nqitm0DwPvTr3D8NB3jVLIMRP+PYcMCCEjWs7ntRbMRt98a8/fK7aHm\nvXA8TV5ZzQkQ8TU4zE9qC56UZxSxjEVpQoJNeI1AFmBLk5NRgWo04yb2Z6hwLEUJHuIW/mBHpkvY\nkcqUw4vNWdxQWCwWXkz2erni7ooQYYejOdzM3lYbjkVCbC6jI56eUKPitYcbczK88lN9/nqRhbha\nCsPjBXB/G9PwykfnTiZeagOzj4I9c63JNTOiHnweCEY+nr/FYuEDz/KMd8TiyMcL04oKdKKKS52/\nq+XKk04+AAAgAElEQVQRbuVWbsjXNQuTYsOrAKlcnGCfgh0rq5hKEvE8wTuUomyuHxvLyTTJ9NWz\nmfcRFrwpyzuZDybsgrDxUH8ReJRMHXckwLa+0Ok7KFs/dfzQCvDfBN0/Tx2bPhza3wudHwFMYVTH\nl5/i/cPPWDw90213efNmdt12G7WeeYY2v/6KZ5kyeJUvT/OJEzn+xhsYDgeW2nXwGjYS+9BBZniu\nUjXo+76ZaA9mFeVjn5teLyP5E779WPD7GmzJBlTJplCpL4R+krJ3SboDHlhZmTJWhvrU4H4CSM0J\nA+jkwut1L205yyUCMmjRWbDwAg2ZQ0A6mYor9PIoxWbZCFbW30geFuhTAxbkcEdfygs61oDtecjz\nqlsFLkbmfn5W5GR4ufJguSI77a5/O2VKF3xVI0CLOuA04LQbP3pbVYUmFeHPs/m/9n8qQQUv+D2f\n89T+aylBNYsHi7LJw7waXqcJK/JZXqIUJWibVVHUdUqx4VWAVKU2keRzffB1iJVEfmMSpSnPowzE\n24XHKisSCeYQQ2nBsGyT6RNZgpVVVOJnLKQ3gnBGQ2BvqDsdSmT4Y94/AqrcAo3SJOHHhsCS181e\njKXKJ8/bBNv/gDe/AZJ1ut54Ee+RH+HRpGnKQyUROGUKh3v1ovXcuTQcOhRLmgT+mr164VW5Mpd+\n/RUAr9cHmYn2mzeaE3q8CacPwank5oOtu0PJcnB4hfl7hRZQ52E4NTP1fKt/YCbZO8zQoAUL5RhB\nHKkhSIBGvEgQv+NIY2RVoCqNaccRtqabWwJv/stN/E3mJoh3UpV4HBwmOtOxChYP7rWUYHk2Svbd\nquTuS6VtNdiZS4exBCW8IPQaeulJ4OcPtWtc/RoZyY+QYl5Cm0WJMqUKJ9RosZjhxr/dnJ/9ajuY\nfij/17VY4L36MCEwf712FouFDz3L85kzDms+LnxFXmJqPstL/JsoNrwKkLo0J5AT6UI+/9+wkcTv\nfE816tOFF/DMaBRlg1nBOIyGPEcN/pPNvJPE8B6VmIdHVuHL4MFQ7kGokF5vi7DtcH4ZdPo+/fiy\nQXBrf2jc2fzdboNvBsLb30P5SgA4Z88CCc9X30h5mGGzcXzgQC5Mm8Yt27dTtUtmpXyLxYJn2bJ4\nlTP1yize3uDhgaVSpSsTIDEOqtRO/d0aBxXrpi5iu2zKS1zBedlsJ+RZKXWIC5naIyVwnpLUwJMy\nKWNChBFIdeqRkZME0jSLHLwjxGDDoEkWmmsRMtgmO/daXISDBV8Gmkn22XEsAhadhJ4tsp93hdmb\nICLWDDNdLZPnmobCQ/e4nnM1HqxrCSler421r5Che1aB8fBN8Oc+9+7RsznsCYGzme8/rpkeVU1Z\niQ352Dwb4HaPErSyeDM7G829q6EP9TlKDIfyUV7i30Sx4VWAVKAapSlHSD7Hv68XrhhdVanDf3gG\nSx76Pwonx/iYirSlLj2zmZdAFP0pzxi8yeJbN/ZPiN8ItTJUODptsONVuGUSlKycOn5wOQQdMhPb\nr7DkG6jTJLWKMTQU+9jReH/7A5ZkXS9bWBj7unTBGhREp+3bKdO0KVkhwyBmxw4qdjaNOoWEoJBg\nLG3bmxMO+UD9FlA1ueIy/DTEh0ODW83f7XEQuhnqpmlPFDUfKj5jFgckk8QCStMn3d4XWEx9emJJ\n8zEQyHEMnDQkfZ/KU1wkmMvcleGaOjD4ipO8RTPK4UVGPnbG8rRHKdp4ZC1q+3MIBNtgVIMsDwOm\nOGXvVfDZXdCyqut5V/C7AMPnweLBUO4qhU93HoBPJsOSyVCqpOt57kqKd+XVymtosyjhcIJX7u+z\n8pWuHWDzMUjIv1zyTJT2hudbucfr5WGB9xvA+PP5v/Yoz3J87YwnPhvNvbxSCk9eownf4o+Rj/IS\n/xaKDa8CphFtOIcbFf2KKHasrGQKlajJf3k23Zd9bjjDDziJpzmDszXYYngPL9pQmn6ZDzoi4eJr\nUPcn8Cyf/tixL6BcI2iQxqiLj4Rlb8EzP0KJ5G/wkPOw8EtTKDX59t0+ehhefV/Ao007AGIPHWLX\nrbdS6c47ab9iBV4VMlRTpiHh5Ek8K1SgZG3Tk2Rs24JH57tSc8R2r4Nb0xhVR1aa4cYrwq3Bf0G1\n26FEsndLMg2vSqnP38EJnARRIo2XMJEgothPTdL3k9zH39zEA+musRAr2E53bscrg4dyOUGUx4su\nZI7H7TZs/GVYed8z6+4D55NgxFmYeyN4Z/N2GLoFWlcz27PkRKIVen8Dnz4LbbIx5rIjMgp6D4IZ\n46FJLtbI76T4692r5Qq7Hbwy2+YFQuVy0LGJe6sbAV5rBz8fBWs+ip5eoU91OJcE2/PZo9bOw5s7\nPUowPZ+9Xg9SEwuwrrhHcSaKDa8CpjFt/98ZXvFEs5xvqEBVHuC5PBtdl1hDKBtpw6cu2wEBJLII\nG75U4OusjbPgQaZsRLn70o9Hn4Djk+DWqeljISvehQ49U6sYAaa8C08OgrqmB8u5eSOGzya83jc9\nYrawMPZ36UKz8eNp9umnKR4wV0T7+lLpjjtSfnf6bMLj7jTnt2c93JImRHn4d2jzWOrvgSugXo80\nF8EXPEpAqZvTXJcFlKInljQeqYsspRaP4pUmzBhBEGGc50ZSWxoBHCWAeJK4LUNVUQRWZnOOobTI\ndL2dEkOdMXzsWZ6KlszXQIKXT8K7daFtNnUVv52CNedg+gO5C1MNngOt6sHL9+c8NysMA54fAk91\nhR4PXt0a10p2Xq3rOTnf4QTvQjK8ALp3hD/2uHePFpXNXMTlblCy9/aAEfVhfB707HLLSM9yTHHG\nZ9tpIq94JMtL/MAZEvJRXuLfQLHhVcDUphmXCSE+i/53/0ZCOc9CJtCINnThhTwbXdEcxp/vaceX\neFPR5Twzr2sklfgZj6z6O0Yvg8TdptxCWgw7bHsO2n0MZdO4N46tgTM+8Ehqyx12rgX/g9DH1N6S\n1Yr9nYF4f/EtluQcrZODB1OrXz9qPZuh9ZALorZvp2Iaw8vw2YTnFcMrKgyCz5j9HwHiI+DCPmjx\nQOq5X/zTbJydsuA8qNgvxUoRThJZnC7M6CCeYFZTj/TaZQfYQFvuwSuNcWske7se43Y8Mrx2PxNA\nV2rRKIuK1DlGImWw0Msj6wbnM4LhsgOG18/yMADnY+D1DbCgG1TMJtx3hSW+sP4QzHjt6nOJvpwB\nkdHw2fCre7y72Bu8lwfnmZbg9ar35XAUXqgRoPstsGqfaVy7k4HtYJqbWm32rwUH4mB//va5ppnF\ni24epfjemb8ipW2oyE1UYj5uiJFexxQbXgWMJ540oCUBuFFKuYjgzz5W8C330JPbeDRPOV0ASQRz\nhFG05APKZlNKnGNelyMUgt+EenPMpPO0HPoIStWAFqlJ8STFwOLXTKHUkslGXEIsfP06vDMFSprG\nhOPbr7A0b4HHo2auV8T69UT5+ND0449z/Ryjt29Pze8KDUXBF7FcEV3du8GUq/BKNoSOrYbm/00N\ne4b6QPmmUDY5Ed6wQvQSU04iGRub8aAG3rRKGbvEaipzC6XStGVKIIZT7KMd96U7v/34Y8HCTTRL\nN36RRP4mhOfJHIsLl8Gnzji+9KyQroLzCmcTYXQAzLkBvFy8JRwG9F0D795sanjlxNkQeHMWLHwX\nKpTJeX5WbNkF3/wEi74Db9eOVbeT0asFEJkYmRJ2BK5LvS+Hs/BCjQDNa0OF0rDPDZIPaXmsKZyO\nMtXs85tSHjCkHnzqBjtmuGc5fjISCHEh/XK1DKQJy7lIMIVQ0lpEKTa8CgEzz+vf1XsqLULsYjWb\nWczjvE1zOuZ5DQcJHGIEDXiWqnTOdm4MI1zndUkQNBAqvQBlMqwTsgX8f4LOP6V3kawcATc+BC3S\nxKumDYOO98Ot5hedcfYMjsnf4P3V91gsFpwJCRx//XVunDoVz7K50ySzR0WRdP485dqZuWGZ8rv2\nZggzHlkJbdO0Rgr8Heql+T1uNZRsAyUapgwlZkiqF0ZyUn3vdOdyiM0052bKkJr75sRgJb704I5M\nRvOPnOVp6lEpCymQj52x9HSRUG8IXjoJw+tBq2wu07gdUMoThndyPecKdgf0+Rbe6wG3JNcw5FVy\nISQMnn0HZn8J9evkvKc7SZuwX6V0+qrc6ymZPiP2QvZ4QcGEG709zf6NP7jJ6/VabdgcbfY5zU/q\nWzzp41GaL/PZ61WTUjxNvWJ5iTQUG16FQCPacB4/nLhB5riQcWBjLT9yhoP05j1q0jDnB2XA7ME4\nlgq0pF4GAyEjiSzExg7XeV3RC8B6HGpk8ELZosxejLfPgtI1U8dPbYJjq+DxNFWPe9bDztXwxtfm\n+UnYB7+J1zvD8GhgPr+zn3xChU6dqNatW66fZ/SOHVTo1AmPZDdAuvwuydy3Y7Lh5bDCifXQ6pHU\n4xdWQP00+V1R86BSal9IgxisrKM0T6eMRbAdLypQIY1n0IGdw2zhJh5Id347OU55ytAqg1frNHHs\nJJI+ZI4T7jZsrDesvOcioX5qECQaMDizWkUKmwNh+mGY29Ws5sqJUQugWnl491Hz97wmpzud0Pdd\nGPA0dL035/0KgisJ+x1r5/2mpajicBSuJxHg0Y7wx1737/NKW/j1OMTlXx/qFMp6wtt14DM3eL2G\neJZjuZHIWeVvTtZzNOAw0RwslpcAig2vQqEsFalINS79y+4A4olmKebd+NMMoRyVcnhE1pxlBnai\nacHQbMOTDk4QwyjXeV32CxD8DtSbC2lzjSTYORDqPgr1HkkdtyXAopeh5zQonZxPFh8DX74Mw2ZB\nOXPMWLEMXQjEa5DZxzHu8GEu/vgjLSalFyjNibRhRkjO77or+Zs/8KR5ng2SE9pPbYTabaB8cvXg\n5QNmEn3F5BCiIxLiNkDFVCMriRWU4G48SNVguMBi6tEr3XU9zk5q0CBdn0w7Dlaxgx50zvQazOQs\nfWlA2QzyETkl1PsnwkcBMPsG8HTxskYkQr+18NODUDtr2y0da/bDgm0w+81Up2VeJRfGfmd64j76\nX877FTTXczJ9RgpTTuIKd94IAWFwIZ9V4DNSr7zZX3TBcfes/1ZdWBVphu3zk6oWD173LMunzvxN\nIiuFJwOL5SVSKDa8ColGtOXsvyjcGEYgC5lAY9rRlZfwyoMafVousY4Q/s6xg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oTyCLuMBCavIgDemPN5UI4Cjb+A0vvLmTJ6lHC+JJYg272c4x7qUdD3IzpSmJA4M/ucSP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A4L+CFhRLo8fpVc/pfV/IhFtPbgJVZANc+yn3cYTM86/MYAVjkqedssJ9E/ym3NnDtsJow5CvPa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\nEV6CIAiCIAg+QoSXIAiCIAiCj/j/Ol+CTA9mXW8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd63cb241d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "drawContour(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "running gradient check...\n",
      "checking gradient on parameter bxh of shape (30, 1)...\n",
      "OK bxh index       29 (val = -0.371781), analytic = -0.002036, numerical = -0.002036, rel error = +0.000000\n",
      "OK bxh index        7 (val = +0.315677), analytic = +0.020937, numerical = +0.020937, rel error = +0.000000\n",
      "OK bxh index       15 (val = -0.113248), analytic = -0.022409, numerical = -0.022409, rel error = +0.000000\n",
      "OK bxh index       13 (val = +0.333031), analytic = +0.006471, numerical = +0.006471, rel error = +0.000000\n",
      "OK bxh index        6 (val = -0.183188), analytic = -0.006673, numerical = -0.006673, rel error = +0.000000\n",
      "OK bxh index       10 (val = -0.405125), analytic = +0.013607, numerical = +0.013607, rel error = +0.000000\n",
      "OK bxh index        3 (val = +0.404552), analytic = +0.020254, numerical = +0.020254, rel error = +0.000000\n",
      "OK bxh index       14 (val = -0.444251), analytic = -0.022828, numerical = -0.022828, rel error = +0.000000\n",
      "OK bxh index        4 (val = +0.594978), analytic = -0.034815, numerical = -0.034815, rel error = +0.000000\n",
      "OK bxh index       28 (val = -0.368002), analytic = +0.019541, numerical = +0.019541, rel error = +0.000000\n",
      "checking gradient on parameter bhu of shape (3, 1)...\n",
      "OK bhu index        0 (val = -0.054020), analytic = -0.204393, numerical = -0.204393, rel error = +0.000000\n",
      "OK bhu index        0 (val = -0.054020), analytic = -0.204393, numerical = -0.204393, rel error = +0.000000\n",
      "OK bhu index        0 (val = -0.054020), analytic = -0.204393, numerical = -0.204393, rel error = +0.000000\n",
      "OK bhu index        2 (val = +0.160749), analytic = -0.001440, numerical = -0.001440, rel error = +0.000000\n",
      "OK bhu index        0 (val = -0.054020), analytic = -0.204393, numerical = -0.204393, rel error = +0.000000\n",
      "OK bhu index        1 (val = +0.045551), analytic = +0.064439, numerical = +0.064439, rel error = +0.000000\n",
      "OK bhu index        2 (val = +0.160749), analytic = -0.001440, numerical = -0.001440, rel error = +0.000000\n",
      "OK bhu index        2 (val = +0.160749), analytic = -0.001440, numerical = -0.001440, rel error = +0.000000\n",
      "OK bhu index        0 (val = -0.054020), analytic = -0.204393, numerical = -0.204393, rel error = +0.000000\n",
      "OK bhu index        2 (val = +0.160749), analytic = -0.001440, numerical = -0.001440, rel error = +0.000000\n",
      "checking gradient on parameter Whu of shape (3, 30)...\n",
      "OK Whu index       88 (val = -0.160383), analytic = +0.000513, numerical = +0.000513, rel error = +0.000000\n",
      "OK Whu index       52 (val = -0.122295), analytic = -0.007203, numerical = -0.007203, rel error = +0.000000\n",
      "OK Whu index       26 (val = +0.113401), analytic = -0.082617, numerical = -0.082617, rel error = +0.000000\n",
      "OK Whu index       39 (val = +0.039071), analytic = -0.020899, numerical = -0.020899, rel error = +0.000000\n",
      "OK Whu index       34 (val = -0.128661), analytic = +0.028239, numerical = +0.028239, rel error = +0.000000\n",
      "OK Whu index       66 (val = -0.080696), analytic = +0.000378, numerical = +0.000378, rel error = +0.000000\n",
      "OK Whu index       65 (val = -0.096113), analytic = -0.000718, numerical = -0.000718, rel error = +0.000000\n",
      "OK Whu index       29 (val = -0.022432), analytic = +0.089369, numerical = +0.089369, rel error = +0.000000\n",
      "OK Whu index        4 (val = +0.129645), analytic = -0.023335, numerical = -0.023335, rel error = +0.000000\n",
      "OK Whu index       54 (val = -0.192168), analytic = -0.007093, numerical = -0.007093, rel error = +0.000000\n",
      "checking gradient on parameter Whp of shape (3, 30)...\n",
      "OK Whp index       30 (val = -0.052082), analytic = +0.000095, numerical = +0.000095, rel error = +0.000000\n",
      "OK Whp index       76 (val = +0.249193), analytic = -0.000111, numerical = -0.000111, rel error = +0.000000\n",
      "OK Whp index       34 (val = +0.810055), analytic = +0.000554, numerical = +0.000554, rel error = +0.000000\n",
      "OK Whp index       83 (val = +1.775950), analytic = -0.001485, numerical = -0.001485, rel error = +0.000000\n",
      "OK Whp index       41 (val = -0.955759), analytic = -0.000192, numerical = -0.000192, rel error = +0.000000\n",
      "OK Whp index       19 (val = +0.464002), analytic = +0.000023, numerical = +0.000023, rel error = +0.000000\n",
      "OK Whp index       18 (val = +0.879821), analytic = +0.000195, numerical = +0.000195, rel error = +0.000000\n",
      "OK Whp index       57 (val = +0.681989), analytic = +0.000149, numerical = +0.000149, rel error = +0.000000\n",
      "OK Whp index       19 (val = +0.464002), analytic = +0.000023, numerical = +0.000023, rel error = +0.000000\n",
      "OK Whp index       57 (val = +0.681989), analytic = +0.000149, numerical = +0.000149, rel error = +0.000000\n",
      "checking gradient on parameter Whs of shape (3, 30)...\n",
      "OK Whs index       47 (val = -0.855978), analytic = -0.000183, numerical = -0.000183, rel error = +0.000000\n",
      "OK Whs index       12 (val = +0.246778), analytic = +0.000098, numerical = +0.000098, rel error = +0.000000\n",
      "OK Whs index       68 (val = -0.372332), analytic = -0.000119, numerical = -0.000119, rel error = +0.000000\n",
      "OK Whs index       49 (val = -0.334384), analytic = -0.000025, numerical = -0.000025, rel error = +0.000000\n",
      "OK Whs index       57 (val = +0.212687), analytic = +0.000073, numerical = +0.000073, rel error = +0.000000\n",
      "OK Whs index       32 (val = +0.345946), analytic = +0.000019, numerical = +0.000019, rel error = +0.000000\n",
      "OK Whs index        2 (val = -0.208249), analytic = -0.000024, numerical = -0.000024, rel error = +0.000000\n",
      "OK Whs index       57 (val = +0.212687), analytic = +0.000073, numerical = +0.000073, rel error = +0.000000\n",
      "OK Whs index       17 (val = +0.084191), analytic = -0.000266, numerical = -0.000266, rel error = +0.000000\n",
      "OK Whs index       75 (val = +0.152991), analytic = -0.000172, numerical = -0.000172, rel error = +0.000000\n",
      "checking gradient on parameter bhp of shape (3, 1)...\n",
      "OK bhp index        1 (val = +0.720857), analytic = +0.000141, numerical = +0.000141, rel error = +0.000000\n",
      "OK bhp index        1 (val = +0.720857), analytic = +0.000141, numerical = +0.000141, rel error = +0.000000\n",
      "OK bhp index        0 (val = -0.562434), analytic = -0.000403, numerical = -0.000403, rel error = +0.000000\n",
      "OK bhp index        0 (val = -0.562434), analytic = -0.000403, numerical = -0.000403, rel error = +0.000000\n",
      "OK bhp index        0 (val = -0.562434), analytic = -0.000403, numerical = -0.000403, rel error = +0.000000\n",
      "OK bhp index        1 (val = +0.720857), analytic = +0.000141, numerical = +0.000141, rel error = +0.000000\n",
      "OK bhp index        0 (val = -0.562434), analytic = -0.000403, numerical = -0.000403, rel error = +0.000000\n",
      "OK bhp index        0 (val = -0.562434), analytic = -0.000403, numerical = -0.000403, rel error = +0.000000\n",
      "OK bhp index        0 (val = -0.562434), analytic = -0.000403, numerical = -0.000403, rel error = +0.000000\n",
      "OK bhp index        2 (val = -0.140673), analytic = +0.000263, numerical = +0.000263, rel error = +0.000000\n",
      "checking gradient on parameter bhs of shape (3, 1)...\n",
      "OK bhs index        2 (val = -0.193237), analytic = +0.000550, numerical = +0.000550, rel error = +0.000000\n",
      "OK bhs index        2 (val = -0.193237), analytic = +0.000550, numerical = +0.000550, rel error = +0.000000\n",
      "OK bhs index        2 (val = -0.193237), analytic = +0.000550, numerical = +0.000550, rel error = +0.000000\n",
      "OK bhs index        1 (val = -0.369199), analytic = +0.000019, numerical = +0.000019, rel error = +0.000001\n",
      "OK bhs index        0 (val = -0.179067), analytic = -0.000269, numerical = -0.000269, rel error = +0.000000\n",
      "OK bhs index        1 (val = -0.369199), analytic = +0.000019, numerical = +0.000019, rel error = +0.000001\n",
      "OK bhs index        2 (val = -0.193237), analytic = +0.000550, numerical = +0.000550, rel error = +0.000000\n",
      "OK bhs index        0 (val = -0.179067), analytic = -0.000269, numerical = -0.000269, rel error = +0.000000\n",
      "OK bhs index        2 (val = -0.193237), analytic = +0.000550, numerical = +0.000550, rel error = +0.000000\n",
      "OK bhs index        1 (val = -0.369199), analytic = +0.000019, numerical = +0.000019, rel error = +0.000001\n",
      "checking gradient on parameter Wxh of shape (30, 1)...\n",
      "OK Wxh index        6 (val = -0.350766), analytic = -0.008958, numerical = -0.008958, rel error = +0.000000\n",
      "OK Wxh index       16 (val = -0.566054), analytic = +0.022706, numerical = +0.022706, rel error = +0.000000\n",
      "OK Wxh index        7 (val = +0.186134), analytic = +0.014461, numerical = +0.014461, rel error = +0.000000\n",
      "OK Wxh index       13 (val = +0.082415), analytic = +0.001113, numerical = +0.001113, rel error = +0.000000\n",
      "OK Wxh index       21 (val = +0.219506), analytic = +0.010190, numerical = +0.010190, rel error = +0.000000\n",
      "OK Wxh index       14 (val = -0.018315), analytic = -0.014769, numerical = -0.014769, rel error = +0.000000\n",
      "OK Wxh index       17 (val = -0.807508), analytic = -0.043051, numerical = -0.043051, rel error = +0.000000\n",
      "OK Wxh index        6 (val = -0.350766), analytic = -0.008958, numerical = -0.008958, rel error = +0.000000\n",
      "OK Wxh index        3 (val = +0.096276), analytic = +0.010808, numerical = +0.010808, rel error = +0.000000\n",
      "OK Wxh index        7 (val = +0.186134), analytic = +0.014461, numerical = +0.014461, rel error = +0.000000\n"
     ]
    }
   ],
   "source": [
    "# Rung radient check\n",
    "\n",
    "def wrapCost(batch, model):\n",
    "    loss, grad, stats = mdn_loss(batch[0], batch[1], model)\n",
    "    cg = {}\n",
    "    cg['grad'] = grad\n",
    "    cg['cost'] = {}\n",
    "    cg['cost']['total_cost'] = loss\n",
    "    return cg\n",
    "\n",
    "def gradCheck(batch, model, cost_function, **kwargs):\n",
    "    num_checks = kwargs.get('num_checks', 10)\n",
    "    delta = kwargs.get('delta', 1e-5)\n",
    "    rel_error_thr_warning = kwargs.get('rel_error_thr_warning', 1e-2)\n",
    "    rel_error_thr_error = kwargs.get('rel_error_thr_error', 1)\n",
    "\n",
    "    cg = cost_function(batch, model)\n",
    "\n",
    "    print 'running gradient check...'\n",
    "    for p in model.keys():\n",
    "      print 'checking gradient on parameter %s of shape %s...' % (p, `model[p].shape`)\n",
    "      mat = model[p]\n",
    "\n",
    "      s0 = cg['grad'][p].shape\n",
    "      s1 = mat.shape\n",
    "      assert s0 == s1, 'Error dims dont match on %s: grad: %s vs. param: %s.' % (p, `s0`, `s1`)\n",
    "\n",
    "      for i in xrange(num_checks):\n",
    "        #ri = randi(mat.size)\n",
    "        ri = np.random.randint(0, mat.size)\n",
    "\n",
    "        # evluate cost at [x + delta] and [x - delta]\n",
    "        old_val = mat.flat[ri]\n",
    "        mat.flat[ri] = old_val + delta\n",
    "        cg0 = cost_function(batch, model)\n",
    "        mat.flat[ri] = old_val - delta\n",
    "        cg1 = cost_function(batch, model)\n",
    "        mat.flat[ri] = old_val # reset old value for this parameter\n",
    "\n",
    "        # fetch both numerical and analytic gradient\n",
    "        grad_analytic = cg['grad'][p].flat[ri]\n",
    "        grad_numerical = (cg0['cost']['total_cost'] - cg1['cost']['total_cost']) / ( 2 * delta )\n",
    "\n",
    "        # compare them\n",
    "        if grad_numerical == 0 and grad_analytic == 0:\n",
    "          rel_error = 0 # both are zero, OK.\n",
    "          status = 'OK'\n",
    "        elif abs(grad_numerical) < 1e-7 and abs(grad_analytic) < 1e-7:\n",
    "          rel_error = 0 # not enough precision to check this\n",
    "          status = 'VAL SMALL WARNING'\n",
    "        else:\n",
    "          rel_error = abs(grad_analytic - grad_numerical) / abs(grad_numerical + grad_analytic)\n",
    "          status = 'OK'\n",
    "          if rel_error > rel_error_thr_warning: status = 'WARNING'\n",
    "          if rel_error > rel_error_thr_error: status = '!!!!! NOTOK'\n",
    "\n",
    "        # print stats\n",
    "        print '%s %s index %8d (val = %+8f), analytic = %+8f, numerical = %+8f, rel error = %+8f' \\\n",
    "              % (status, p, ri, old_val, grad_analytic, grad_numerical, rel_error)\n",
    "            \n",
    "gradCheck((xbatch, ybatch), m, wrapCost)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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